ArticlePDF Available

Abstract and Figures

In recent years Fifth Generation (5G) technology is the most recent advancement in a wireless communication network. There is the advent of using the 5G with diverse data structures. The Blockchain (BC) has become an approving adoption for decentralized, peer-to-peer, distributed transparent ledger systems with a diverse data structure. The use of 5G with BC is an emerging trend in communication technology. The elasticity of 5G with BC enables many applications to reciprocity information molds it a fast, transparent, consequential, and safe for transportation of data in this smart era. Green computing (GC) is presently the intense optimistic tactic for the integration of smart technology in a diverse and distributed world of power consumption. This Systematic Mapping Study (SMS) has been analyzed by cautiously elected publications between 2016 and 2020 in well-putative venus. This study analyzed the advanced research on power consumption solutions for BC-based 5G communication, Moreover, a taxonomy of 5G based on green BC and GC in various areas is presented. Furthermore, Green energy renewable communication (GERC) problems are being observed in this research by integrating three discrete technologies such as 5G with green BC and GC also along with smart systems. Lastly, the research gaps had been bestowed to render future directions for the researchers in 5G with green BC and GC as the solution for rechargeable data packets.
Content may be subject to copyright.
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.
Digital Object Identifier 10.1109/ACCESS.2021.DOI
Social and Economic Contribution of 5G
and Blockchain with Green Computing:
Taxonomy, Challenges and
Opportunities
ADEL KHELIFI3, OMER AZIZ1,2, MUHAMMAD SHOAIB FAROOQ1(MEMBER, IEEE), ADNAN
ABID1(MEMBER, IEEE), FATIMA BUKHARI2.
1School of Systems and Technology, University of Management & Technology, Lahore, Punjab, 54770, Pakistan
2Department of Computer Science, NFC Institute of Engineering & Technology, Multan, Punjab, 60000, Pakistan
3Department of Computer Science and Information Technology, Abu Dhabi University, Abu Dhabi, United Arab Emirates
Corresponding author: Muhammad Shoaib Farooq (e-mail: shoaib.farooq@umt.edu.pk).
ABSTRACT In recent years Fifth Generation (5G) technology is the most recent advancement in a
wireless communication network. There is the advent of using the 5G with diverse data structures. The
Blockchain (BC) has become an approving adoption for decentralized, peer-to-peer, distributed transparent
ledger systems with a diverse data structure. The use of 5G with BC is an emerging trend in communication
technology. The elasticity of 5G with BC enables many applications to reciprocity information molds it
a fast, transparent, consequential, and safe for transportation of data in this smart era. Green computing
(GC) is presently the intense optimistic tactic for the integration of smart technology in a diverse and
distributed world of power consumption. This Systematic Mapping Study (SMS) has been analyzed
by cautiously elected publications between 2016 and 2020 in well-putative venus. This study analyzed
the advanced research on power consumption solutions for BC-based 5G communication, Moreover, a
taxonomy of 5G based on green BC and GC in various areas is presented. Furthermore, Green energy
renewable communication (GERC) problems are being observed in this research by integrating three
discrete technologies such as 5G with green BC and GC also along with smart systems. Lastly, the research
gaps had been bestowed to render future directions for the researchers in 5G with green BC and GC as the
solution for rechargeable data packets.
INDEX TERMS Fifth Generation (5G), Blockchain, Green Computing, Green Blockchain, Renewable
energy, SDN, WPT, Systematic mapping study (SMS), Criteria
I. INTRODUCTION
FIFTH Generation (5G) is the most trendy technology
in this smart era. For smart homes, transportation, TVs,
health-care, farming, agriculture, banking system, industries,
furniture items, and cities smart technology is smartly con-
tributing with 5G as shown in figure 1. 5G applications
had varying requirements in terms of bandwidth, speed, and
latency of auto rechargeable devices with many different
factors and energy. High band frequency is having great
bandwidth, that is obtainable to transfer large data. Wave-
VOLUME 1, 2020 1
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 1: Smart System
length spectrum with multiple bands like the high band,
mid-band, and low band can build 5G networks in various
ways. The best transmission rate in 5G is nearly 20GB/sec
which offers great interconnection with low latency [1]. Au-
tonomous vehicles and many other smart devices are being
used in augmented reality with 5G for fast and reliable com-
munication [2]. This smart era of contemporary technology
with smart devices might be reached up to five hundred
(500) billion in number by 2030 [3]. This nimble network
bandwidth named 5G with the smart system is going to
rule on this world and ornament more crucial to its security
which is a major agitation [4]. The consolidation of radio
ideas in [5] such as ultra-dense networks, massive machine
(MM) communications, massive Multiple-Input Multiple-
Output (mMIMO), device-to-device (D2D) moving networks
and ultra-reliable can allow 5G as in figure 2to assist the
anticipated growth in mobile data volume while developing
the limit of application zone that mobile communications
can assist on the far side 2021 [6]. Challenges are increased
for 5G networks by merging Artificial Intelligence (AI) and
network operator which can be one of the impressive results
to address these complexities. To justify these dilemmas,
BC must be integrated. BC, as a decentralized methodology
furnished a secure sharing of data, information, and resources
among respective nodes of 5G areas [7]. 5G, BC, and smart
systems are opposite domains but by their integration future
can be better [8]. 5G requires BC for the vast deployment
of 5G services. BC is contemplated one of the nascent
FIGURE 2: Energy Consumption
technology that will be having a great effect in the future. BC
concede its security attributes such as credibility and integrity
to respective applications such as smart contracts and bitcoins
[9]. For economic transactions, BC is also a distributed ledger
that is recently used to present cryptocurrency Bitcoins for
the first time [10] [11]. Transaction data can be easily man-
aged in peer to peer network as in figure 3. For financial
and industrial services rapid development of BC extends for
the next generation. But a lot of issues are being observed
during the deployment like privacy, security, transparency,
cost, decentralization, power consumption, and trust. BC
manipulate efficient and fast over uncertain networks then
5G. BC is not only introduced to overcome the security issues
but also helps in the faster distribution of real-time data. [12].
2VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 3: Peer to Peer network
BC technology is non-repudiation, immutable, integrity,
proof of provenance, and trustful with privacy. BC’s com-
bination with 5G and smart systems still needs essential
modalities about abstract application domains, privacy is-
sues, scalability, performance, and potential financial ac-
quires but the energy problem was constant [13]. For cellular
network operators upcoming mobile generations are becom-
ing increasingly evidential for energy efficiency. Green en-
ergy represents diverse modules of wireless communication.
To cognize upcoming green networks founded on energy-
efficient discipline that meets the atomistic demands in terms
of content, elements triggered by the upcoming mobile gen-
eration, 5G can be helpful to fulfill the required necessities
[14]. Green Computing (GC) must take the effective circu-
lation impression, to operate and recycle, this smart system
can save up-to 15-20% energy. [15]. For uncovering the
security issues, costs and to reduce power consumption 5G
is usually used in smart devices to making smart systems
more worthy and trustful [16]. GC can be another impor-
tant attribute for 5G systems, as power consumption from
ICT (Information and communication technology) parts are
predicted to grow insignificantly by 2030. The instant best
time is when coming traffic backhauling the optimum instant
time when traffic backhauling should switch with different
technologies to minimize the whole power consumption [17].
At successor and transmitter interference cancellation (SIC)
at the receiver is Power-domain superposition coding (SC)
multiplexer. NOMA assigns one frequency channel to many
users at a time in a corresponding cell [18].
LTE-Advanced systems is also having the purpose to
support the deployment of cheap devices, tuning and net-
work control power devices by having growing radio access
network coverage. LTE susceptibility execution based on
devices per physical resource block indicates insignificantly
more number of devices are supported in an LTE system
[19]. 5G promises quality of service (QoS) and high rates
to the end-users and BC assures a high level of security and
trust among the peers. Because LTE was the only step toward
the 4th generation (4G) of radio technologies designed to in-
crease the capacity. Social influence, trust, effort expectancy,
and facilitating conditions are very critical constructs that
affect BCT adoption directly. BC with the improvement of a
security system with 5G, as the enforcement of and scaling up
the miner security to deduct 50% attacks without damaging
to PKI management system can be enacted [20].
In this article state of the art, is presented concerning 5G
for BC. 5G with green BC is presently an intense propi-
tious tactic for the amalgamation of smart technology in a
divergent and distributed world. The idea of 5G and BC
turned up from the obviate to stir out from conventional
amalgamation structures, that flatter hard to come via the
transition of time. Energy consumption, trust problems are
being observed in this research by integrating two discrete
technologies such as 5G with green BC and GC in IoE to
some extend. This article is analyzed by giving a review
on cautiously elected study published between 2016 and
2021 in known channels. Similarly analyzing the advanced
research on power consumption solutions for BC-based 5G
communication, a taxonomy of 5G based green BC and GC
in various areas has been proposed. Apart from the study,
5G along with green BC and GC has also been presented
for power consumption issues and rechargeable data packets.
Rechargeable data packets are very necessary as this smart
era of Internet of Everything (IOE) needs to proffer battery
life. Moreover, it is also being observed there is very little
adoption of any latest technology just because of trust issues.
Mostly it took more than 10 years to adopt any latest tech-
nology which is a wastage of money and time. Lastly, the
study gaps have been bestowed to render future directions
for the study in 5G with green BC and GC as the solution for
rechargeable packets and power consumption.
This paper is maintained as in figure 4. Sector 2 will
be of background where the use of BC and 5G has been
discussed in detail according to different work industries.
VOLUME 1, 2020 3
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 4: Paper Organization
Sector 3 about methodology adopted for this SMS by ex-
plaining some questions, exclusion/inclusion criteria, search
techniques, quality assessment (QA), sector 4 is about results
where answers to the defined questions have been given. Sec-
tor 5 is about the discussion where the proposed taxonomy is
presented including main findings and open challenges. In
the last sector, 6 conclusions and future directions have been
discussed.
II. BACKGROUND
For the growth of the local economy, 5G is playing an
important role. So, for the growth of the economy, 5G has
become a brand new operating tool. 4G trade life but the
world is changed by 5G. 5G has reduced the problems like
privacy, security, low latency rate and speed, transparency
problems. 5G has not only increased the speed of the internet,
but it has also brought moderation in man’s life making,
economic and social life, enjoyment and work is remodeled
and has become more advantageous. In simultaneous eco-
nomic growth and social development, 5G has become a
vital technology [21]. In financial transactions, BC provides
an extraordinary chance for revolution. A completely new
world of probability for banking, insurance, money trans-
fer, investment, stock market, and lending is waiting. Cy-
bersecurity and privacy problems however inhibit the more
likely acquiring of BC [22]. BC can realign the modern
legal, economic, political, and cultural topography claimed
by stakeholders such as entrepreneurs, developers, and tech-
nology supporters. To improve transparency, effectiveness,
and security over a vast range of transactions BCT is at
the Centre of modern attempts [23]. As by [24] to make
localized and shared economy applications that empower
people to securely monetize their gadgets to create more
revenue BC can be utilized. But paired with distributed file
system framework it is desegregated as an unworthy public
ledger. Interplanetary file system (IPFS) direct clearness,
security, and challenges of scaling. In forecasting BCT as-
sumption aim Facilitating process is recognized, belief, social
influence, and attempt expectancy as analytical constructs
[25]. BC only authorize the transferring of the digital tokens,
for otherworldly transactions cryptocurrency BC was not
used. Ethereum launch illustrates was feasible to program
BC to keep up many types of transnational logic by smart
agreements that accomplish precoded segments of software
on the BC when particular conditions are connected. with
no intervention from representative or requiring approval
4VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
from third party’s Smart agreements can perform transactions
independently, [26]. In [27] author explain how these dispute
notions can be sorted out and investigate the potential of
BCT for sorting out the issues of safekeeping in the sharing
economy. In [28] Three ordinary misapprehensions on the
application of BCT to the sharing economy as well the wide
forum economy had been shared:
BCT not only solves all safe keeping problems when
they come to the physical word interlinked with humans,
trust-free misconceptions.
Significance and part of forms as the agent and cus-
todian should not be abandoned but frequently is the
disintermediation misconception.
Information asymmetry and costs of transactions intricate
with matching entrepreneurs with an investor [29]. IoT, 5G,
and blockchain can give an advantage to shared economy
practices. These advantages can be highlighted by a higher
level of productivity, operating efficiency, and atomization,
and smart factories in terms of resources should be renewable
and sustainable. [30]. The security, confidence, and account-
ability issues have been solved by introducing BC along
with 5G but energy efficacy is a major concern. In new
mobile cellular wireless networks (MCWN) with high energy
and auto recharging green communication from the network
providers, giant networking is expected [31].
Involving areas of 5G and BC like smart vehicles, smart
agriculture, smart hospitals, and smart cities have been dis-
cussed below.
A. SMART VEHICLES
the definition has become one of the popular trends currently
with the growing need for data generation and program-
ming tasks. IoV is a distributed network that uses vehicle-
generated data to enhance road safety for smart cities. [32].
Mobile Edge Computing (MEC) is typically installed in
a smart city in static mode in base stations (BSs). IoV
could assist the smart city, Via paying share of idle vehicle
computing services, to achieve scalable computing resource
demand response (DR). Peer-to-Peer (P2P) computing re-
source trading system to balance IoV-assisted smart city
spatio-temporal complex computing resource requirements
and ensure transaction security and privacy preservation in
our [33] system. A large amount of complex real-time sensor
data is used in the Intelligent Transport System (ITS), so
its stability is also a big concern. Security specifications,
security threats, and security attacks are addressed in [34]
in various security elements of IoV. To prevent traffic delays
and collisions, drivers can be aware of the mobile location,
direction, speed, and other real-time data of surrounding
vehicles. In the absence of safety protections, though, IoV
conditions may be unsafe. Due to the Internet’s transparency
and self-organization, there are tremendous malicious at-
tackers in cars, [35]. Through the enhancement of automa-
tion and networking, autonomous vehicles are progressing
at a rapid pace, opening up new possibilities for numer-
ous cyber-attacks, including in-vehicle attacks and vehicle-
to-everything contact attacks. A huge amount of data can
be transmitted by 5G. It is especially helpful for the IoV,
ensuring fast communications and protection [36]. As two
rapidly emerging areas, the growth of IoT and BCT could
strengthen the condition of the food chain today. The state-
of-the-art creation of systems that use BCT to provide infor-
mation security. Yet, researchers evaluate, the speed problem
remained the same, if 5G is combined then [37] can also
solve this problem. BC-based Stable message and revoca-
tion transparency scheme for safe vehicular communication.
Smart Energy (SE) has contributed to the introduction of
innovative energy initiatives, infrastructure ventures, and
business models as a transformative idea. The goal is to make
the electric power grid more effective by generating/storing
distributed electricity, adding smart meters, or reducing con-
sumption/implementation costs. A major problem is the suc-
cessful integration of solutions within SE structures [38].
In the 5G age, energy usage is a challenging concern to
combat many challenges such as reactive mode of operation,
high latency wakes up times, incorrect cell user association,
multiple Self-Organizing Networks (SON) cross-functional
operation [39].
B. SMART AGRICULTURE
The global demand for smart agriculture is projected to hit $
15.3 billion by the end of 2025, relative to $ 5 billion in 2016.
IOT [40] has been implemented in smart agriculture using
wireless sensor networks (WSNs) such as irrigation sensor
networks, prediction of frost events, precision soil farming,
blind object recognition, smart farming, and precision agri-
culture [41]. 5G is likely to drive smart agriculture to the
next level when it is possible to gather vast and real-time data
to track crop and livestock status, logistics management, and
other significant information. More human interest has been
VOLUME 1, 2020 5
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
drawn by COVID-19 to food protection, which also has a
positive effect on the market share of smart agriculture [42].
The privacy and security of smart farming, however, have
become more common. Emerging finance, operations, and
administration (FOM) problems in the Green Implementation
in agriculture, IoT projects, such as IoT finance, funding
for the supply chain and big data, recharging and upgrading
network nodes, and Green IOT system [43] can overcome IoT
data management. Through switching the resources on/off
when they are inefficient, and building virtualized network
resources such as proxies to minimize network traffic, the
network solution would be able to reduce energy usage. It
is possible to reduce energy consumption through SDN [44].
C. SMART HOSPITALS
are now in several domains of medicine to furnish more
reliable treatment services to patients. There is a non-unified
architecture restricted to the connectivity protocol that can
connect all intelligent things in smart hospitals [45]. There
are also some challenges to the big data research tool us-
ing AI, such as centralized infrastructure, protection, and
privacy, budget limitations, inadequate training data. BC-
enabled AI Intelligent IoT Architecture that offers an effec-
tive way to merge BC and AI for IoT with existing state-
of-the-art [46] techniques, algorithms, and applications. To
reduce the optimization time for those algorithms several
hybrid techniques can be used [47] [48]. Hospital records
are also a significant contribution without breaching con-
fidentiality. To fix anonymity, accountability, low latency
problems, BC with 5G will play a critical role [49]. There
is still a challenge to create sharing trust between healthcare
providers, suitability, anonymity, and give patients access
to health data management and high energy usage because
BC may rethink the way the electronic health records of
patients are exchanged and processed [50]. The convergence
of 5G and Renewable rechargeable packets has resolved the
need for reliable energy, delivery, and utilization models,
the lack of accurate data flow profiles, the use of power
conversion, energy cooperation, energy exchange strategies,
and rechargeable packets. But there are still security, latency,
confidence, and transparency problems. But there are still
security, latency, confidence, and transparency problems. To
achieve sustainable 5G and Green Connectivity with the BC
framework [51], these issues are discussed along with some
research directions to pursue.
D. SMART CITIES
Industry adaptation is effectuated in cities, the digital eco-
nomic system is enforced sequent in smart companies,
plants, and organizations which correspond nigh entirely a
computer-aided fabrication. The parametric quantity imag-
inary being a smart city are explicit: the high caliber of
life; accessibility of advanced modern technologies; city Sub-
structure with the digital economic system elements; flexible
living state of affairs. The groomed staff that will be needful
to makeover smart cities and come through efficaciously
observation [52]. The modern city infrastructure, immersion
on many scourge associate to security, privacy, low latency,
transparency, smart energy consumption, and auto recharg-
ing. Gainsay for smart city cue and architectural plan as
BC-based systems and substantial usage of AI turn integral
to scheme discipline, is to hold over man in the cringle
to spawn the obligatory plane of reliance in security and
privacy from the public. Meanwhile highlighting gainsay is
auto rechargeable tendency [53].
mMIMO systems, an extremely parallel continual neu-
ral network (NN) for energy-efficient precoding. Simulation
consequences for emblematical 5G readying premise exhibit
an energy efficiency transmutation of one command order of
magnitude or high with esteem to the actual state-of-the-art
method can be formulated [54]. Green Cell-free mMIMO
networks intelligibly amend the doable energy efficiency.
Furthermore, they also unveil the existent exchange among
the accomplishable energy efficiency, the accessible network-
state substance, and hardware constellation [55]. 5G with
BC will be the mainstay of the smart system and mount the
effectuation for the evolution of smart cities but it is not
reliable to preserve the energy by devising auto recharging
smart devices [56].
Many issues are determined which have been resolved by
using 5G and BC. In this 5G smart era, GC is an eminent
gainsay for the sustainable evolution of networks. The en-
ergy harvesting subject is an auspicious strategy to uphold
network lifetime [57]. Energy harvesting networks, knobs
may replenish energy to subdue a variant of renewable energy
from a mobile charger. Ascension in energy phthisis in cellu-
lar networks consequence in a growth in the carbon dioxide
expelled into the surroundings, and revelation to the huge
abstraction of noxious radiations [58]. Simultaneous Wire-
less Information and Power Transfer (SWIPT) for wireless
communication systems presents a new paradigm, allowing
6VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
wireless nodes to recharge their rechargeable batteries from
RF signals while decoding information. Successful realiza-
tion of SWIPT, 5G communications, and IoT technology
assisted technical issues must be overcome at various layers
to achieve an impelling green communication [59]. Green
communication is an urgent need for power optimization
of the upcoming 5G networks [60]. The advancement in
communication researchers has the main focus of making
this communication as green as possible by emerging it with
5G [61]. But energy affliction from spiteful smart devices
can affect momentous energy failure to energy transmitters.
Bonded wireless power transfer framework is requisite by
commuting BC with it [62].
To protect the information in the network efficiently and
securely for the upcoming 5G era has become a problem. A
scheme based on a BC to solve the privacy issues in content-
centric mobile networks for 5G is being proposed. The author
[63] implement the mutual trust between content providers
and users. Besides, the openness and tamper-resistant of
the BC ledger ensure the access control and privacy of the
provider. Trust-enhanced BC-based tracing mechanism for
the whole content delivery process is in information-centric
networking (ICN). It analyzes the records of behaviors on
ICN nodes and locates the malicious ones. Secure energy
data delivery in a BICN based smart grid, where we perform
security analysis and conduct experiments [64].
Green IoT is a rising track that has appeal a huge number
of basic cognitive processes on energy-efficient and modifies
the product and usage of renewable energy [65]. Threat
models against green IoT-based systems including, attacks
against privacy, authentication, confidentiality, availability,
and integrity properties are also analyzed by privacy-oriented
BC-based solutions as well as consensus algorithms for green
IoT-based systems [40]. A security model which is a decen-
tralized system based on the smart contract and lightning net-
work in the BC ecosystem; known as lightning network and
smart contract (LNSC)has been proposed. But model entails
scheduling, registration, charging phases, and authentication.
It meshed with the latest scheduling criteria to intensify the
security of trading among charging piles and EVs [66].
III. RESEARCH METHODOLOGY
For this study, SMS has been chosen as an analysis method-
ology. Figure 5elaborate the mapping steps precede to
accomplish this article, which is owning three divergent
steps as 1. Planning, 2. conducting the mapping study, and
3. conclusions and reviews. An SMS is different from the
systematic literature review (SLR) [67], Which content re-
garding the evolution of the confederation of the manifest,
straining the recognition of the most similar pattern, and
wherever particular indication truant or adequately explicit
in organic literature. Meanwhile, it is not the grail of the
study, as the elaborated study of articles/papers is not here.
The main objective is having classification, content analysis
and recognition of publishing forums [68] [69].
A. RESEARCH OBJECTIVES
The main key intents are discussed here:
To represent a comparison of proceeding study on 5G
and BC to analyze real-world wield and to know mutual
exclusiveness for future.
Present and clear the present study topics, challenges,
and future directions concerning secured 5G applica-
tions.
A taxonomy has been proposed for saving energy of
IOE.
To integrate GC with 5G communication and BC.
To overcome the energy consumption with strong and
secure devices SDN approach with WPT protocol can
be proposed along with green BC in 5G communication.
To summarize research direction as well as to find if
there is manifest for research and possible evidence.
Another goal is to determine the publication fields of the
study.
B. RESEARCH QUESTIONS
To conclude the selected research, Six (06) questions are
being designed in Table 1. Entirely 06 RQs delegated for
chosen criteria with pertinent causation. The given solution
will assist to categorize extant studies, challenges, and fur-
ther commandments referring to Secure 5G communication
network and BC with GC.
C. SEARCH SCHEME
Following scientific databases/sources have been used to get
the nearly germane articles for the chosen acquisition: IEEE
Digital Library, Springer, ACM, Google Scholar, Elsevier,
and MDPI also used for applied studies. For the develop-
ment of bibliometric studies, google scholar has been used
functionally. Five different strings worn to demeanor the
VOLUME 1, 2020 7
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 5: Systematic Mapping Study
instinctive research for a chosen scientific depository is in Fig
6. Incontestable the investigation strategy appealed in various
databases to find relevant articles is in table 2. Some strings
are commonly used in different databases to find the expected
outcome.
D. SELECTION PROCESS
TABLE 3: Including and excluding standards for the chosen
study
Inclusion criteria Exclusion criteria
IC1- Papers published in jour-
nals and conferences.
EC1- Duplicated arti-
cles.
IC2- Studies published between
2016 to 2020.
EC2- Articles does not
address BC and 5G
green computing.
IC3- Articles presenting
blockchain and 5G green
computing
EC3- Books, thesis and
published abstracts.
IC4- Studies from any geo-
graphical location.
EC4- Articles that are
published pre 2016.
Selected criteria are designed at distinguishing the research
studies that are most relevant to the content of this study.
Repetition of the same articles from different sources is also
excluded. Selection of all articles is keenly observed by its
keywords, abstract, and title, for the making the decision
whether it will be included or rejected. After the first process
of observation of the articles was to exclude the similar titles,
obviously the titles are not for the review. The next step was
to insert and exclude the articles based on chosen criteria as
discussed in Table 3. Figure 7demonstrate ramification of a
selection process. 23 articles are being selected out of 214
identified studies.
E. QUALITY ASSESSMENT
One more important step in the assessment process was to
ascertain the enclosed article’s nature. Quality assessment
(QA) is mostly performed in discussed mapping studies.
Even, a questionnaire is designed [70] [67] to assess the
selection of articles in it.
(1) Solution is in the articles. Likely consequences are
No(+0), Moderate (+0.5), and No (+1).
(2) The contribution of the articles toward how 5G and BC
linked with GC conducted is mentioned. No (+0), Moderate
8VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
TABLE 1: Research Questions
No Research Questions Main Motivation
Q1 How has the prevalence of
technologies related to 5G
technology with BC and
GC evolved over years?
To categorize the publica-
tion inclination of 5G com-
munication with BC and
GC research over time.
Q2 Which publication Venus is
the prime quarry for 5G
with BC and GC study?
To categorize where 5G
communication with BC
and GC study can be orig-
inated as premier publica-
tion Venus for future re-
search.
Q3 What are the research type
of 5G with BC and GC
strategies?
To search about the various
types of research delineated
in the SMS concerning 5G.
Q4 Which strategies have been
proposed to overcome the
energy efficiency issues?
To identify the effective
strategy used to overcome
the energy efficiency is-
sues.
Q5 What are the contemporary
challenges and gaps in the
smart era of 5G technology
by having BC with GC?
To recognize and ascertain
unanswered RQs in current
5G communication tech-
nology.
Q6 What approaches have been
reported in the 5G and
BC study to address power
problems?
To dictate the present 5G
strategies reported in the
current 5G with BC and GC
mapping research.
TABLE 2: Search strings used in scientific libraries.
Database Search String
Google Scholar. 1,2,3,4,5
IEEE 3,4
Springer 2,5
Elsevier 2
MDPI 1
(+0.5), and Yes(+1).
(3) Future directions and gaps of the research distinctly
defined. No (+0); Modest (+0.5), and Yes (+1).
(4) Articles are from known and trustworthy databases. Fol-
lowing is the ranking of the conference and journal (CORE).
(Q.1, Q.2, Q.3, and Q.4), and JCR reports, this query was
ranked. Realizable answers to this queries:
Conference ranking for different core (C) :
C (A) ranking (1.5),
C (B) ranking (1),
C (C) ranking (0.5),
If there’s no ranking in C (0)
Ranking in Journals:
If Q.1 is rated (2)
FIGURE 6: Search Strings
If Q.2 is rated (1.5)
If Q.3 and Q.4 is rated (1)
When it is not rated in JCR list (0)
We furnished an ultimate score of every article ( rated 0 to 5)
by adding evaluation for each query.
F. DATA EXTRACTION AND SYNTHESIS TECHNIQUE
Approached is pivoted to collect auspicious answers to the
given questions.
Q1. Articles must be classified according to a published
year for the sake of getting publication drift.
Q2. For these queries (RQ), to determine the publishing
medium and source is compulsory. Q3. Research type can be
outlined in the pursuing aggregation [71]:
Solution proposal: Solution for energy problem in 5G is
proposed. Can be proved a fresh resolution or essential
elaboration of a grooved strategy. Some arguments with
instances, the potential performance, and the connection
of the resolution are shown.
Conceptual Proposals: These researches processed con-
ception by keenly observing and analyze accumulation
already exist on the 5G with BC, GC With 5G communi-
cation technology, and GC with BC. Practical inquiries
are not enclosed in this.
VOLUME 1, 2020 9
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 7: Study selection criteria
Evaluation Research: Assessment and analysis of the 5G
with BC and GC is performed. It refers to recognize
troubles in 5G with BC and GC communication appli-
cations.
Others: As Experimental, Investigation, analytical sur-
veys, development, performance analysis, reviews com-
parative analysis, and case study.
Q4. Apprehension incumbent study in direction of 5G with
BC and GC is the essential RQ of study. Piling up all the suit-
able researches from scientific databases, we are confident to
propose a generic apprehension on 5G communication which
is also tract the present energy-efficient study trends. This
study will modify the latest studies and gross practician to
the latest knowledge on extant study problems that will assist
in the procedure to boost 5G communication technology
with BC and GC to make the efficient devices. Different
strategies are given in the classification table by which we
can make the renewable devices in IOE system more efficient
and secure by using the green BC and SDN approach along
with WPT protocols. Q5. This SMS assists to recognize
the present research gaps about those study challenges will
consent advance questers and epitome on the field where the
foster probe was required. By existing GC implementations
with 5G and BC, will assist to realise unanswered research
queries. Q6. Given approach can be classified as recommen-
dation [71], in the following aggregation:
Method: A procedure indirect the steps are adopted to
gain GC and BC with 5G.
Model: The scheme content that modifies the reasoning
of the 5G communication technology with BC and GC.
10 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
Infrastructure: Administrative structures requisite for a
paunch or business to purpose utilitarian in 5G with BC
and GC.
Architecture: A planning, process, and designing struc-
tures for 5G with BC and GC.
Framework: A theoretical framework planned to influ-
ence or straight the artifact of something that expands
the artifact into something utilitarian in integrating GC
and BC with 5G.
Guideline: An instance of a pattern or pattern that can
be utilized to constitute a course of state in 5G with BC
and GC.
Tool: Anything utilized to execute 5G.
Other: framework, platform.
Synthesis cognition was adjusted for considering the research
keys that are classified in consequence to all RQ, existing
studies standing on the fundament of QA, and oblation
graphical presentation for the intention of categorized con-
sequences.
IV. RESULTS
This segment precise the results that are related to RQs
delineated in given Table 1. Many papers are chosen to
pretense the model for every RQ’s results. We anticipated
they are essential and form a momentous endeavor to 5G with
BC.
A. RESULTS OF SELECTION
318 research studies are keenly observed by their keywords,
abstract, and titles, 295 papers were spurned and 23 articles
were cautiously selected. The recognition of 23 papers was
observed to state the RQs delineated over. The itemization of
chosen papers is bestowed in the given table 6with a given
statement of categorization results and their given QA.
B. Q1. HOW HAS THE PREVALENCE OF
TECHNOLOGIES RELATED TO 5G TECHNOLOGY WITH
BC AND GC EVOLVED OVER YEARS?
Figure 11 (a) pretense general dispersion over the time of
elected primary research, figure 11 (b) shows the drift of 5G
with BC, BC with GC, and 5G with GC by years, meanwhile
figure 11 (c) render the over years distribution of publication
Venus. The abstraction of research publicized per year from
2016 to 2020 is shown in figure 11 (a). Most research papers
were publicized in 2020 as it was a Fifth Generation with BC
and GC is the year of evolution and modification. That could
be described as, the 5G vantages adherent detrition with BC
architects focussing on Green Computing. The emergence in
2020 might be processed by the time this mapping research
was a conduit and is improbable to bring out the distinct
number of studies in 2020. 2016 to 2018 was the time in
which 5G with BC and GC found less, as portrayed in
figure 11 (b). Figure 11 (b) pretended that a large number of
5G articles were published in journals. Yearly three to four
researches were published in journals as in figure 11 (a).
C. Q2. WHICH PUBLICATION VENUS IS THE PRIME
QUARRY FOR 5G WITH BC AND GC STUDY?
Publication databases of the chosen papers are shown in
figure 8. The journal and conferences were the publication
sources entangled in this mapping study. As in fig 8, most
articles were published in the journal (19)(82%) and confer-
ence (4)(18%). Moreover, the table 8cardinal all the publi-
cation channels where the chosen papers were published. All
the chosen articles used in various publications as shown in
the table 4.
FIGURE 8: Publication channel
D. Q3.WHAT ARE THE RESEARCH TYPE OF 5G WITH
BC AND GC STRATEGIES?
In this study, six (6) types of studies were identified, as
evaluation research and survey are (2 articles)(8%), Solu-
tion proposal (8 studies)(34%), Experimental study (9 arti-
cles)(39%), and only 1 article found as implementation study
and investigation study (3 studies)(13%) as in figure 10. Most
VOLUME 1, 2020 11
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
of the chosen studies (Solution proposal) are accordingly
experimental to 5G with BC and GC issues, whereas some
solutions and investigation research of 5G with BC and GC
applications presented in figure 9. In the pursuing paragraph,
several models of research types are listed: In this 5G smart
FIGURE 9: Research Types
era, GC is a great gainsay for the property evolution of
networks. For prolongs network life energy harvesting ap-
plication is an auspicious approach [57]. But energy flack
from cattish IoT inclination can affect momentous energy
loss transmitters. Secured wireless power communication
architecture is requisite by commuted BC with it [62]. To
FIGURE 10: Approaches
assist information in network expeditiously and firmly for
the upcoming 5G smart era has got over trouble. A strategy
supported a BC to cipher the privacy reussite in content-
centric mobile networks for 5G is projected. The authors
enforced the bilateral reliance between users and content
providers. Likewise, the sociability and tamper-resistant BC
ledger ascertain the admittance privacy and control of the
end-user [63]. Moreover, a taxonomy figure 13 is presented
to highlight the solutions to the defined issues.
E. Q4. WHICH STRATEGIES HAVE BEEN PROPOSED TO
OVERCOME THE ENERGY EFFICIENCY ISSUES?
Table 6cataloged all the content that is already addressed
in chosen papers. The outcome pretense that mostly content
settled by 5G with BC OR BC with GC OR 5G with GC sys-
tems, performance valuation, and evaluation of GC. Several
instances are bestowed in the given paragraphs: In the given
article [72], indite evaluated 5G is anticipated to acquire into
green networks, which utter high Caliber of divine service
and energy efficiency. To know the petition of upcoming
applications, momentous ameliorate required in 5G network
bailiwick with the commencement of BC. BC sceptered
complacent caching issues to exploit system substitute and
acquire a new caching strategy by commute abyssal rein-
forcement learning in [73]. To acquire a spectrum-efficient
and incentive-compatible framework supported by BC and
5G can be enforced into two phases: 1. H2H (human to hu-
man) users signed a written agreement for spectrum sharing
along with the base station. 2.The distributed spectrum is
awarded to M2M tendency [74]. The Green BC can also
enterprise similar uses to help in the funding of efficient
renewable energy. The secure and decentralized existence
of green BC could modify a p2p network for energy effi-
ciency [75]. It can assist renewable devices to grow over
because they form renewables more conveniently. Moreover,
the emergent thought of SDN can furnish an overall prospect
of the networks for embedded the devices management [76].
Furthermore, the demand for WPT protocol is also trended
to leave the unsuitability due to using power cables [77].
Optimal use of transmitter and receiver antenna increases the
skillfulness in WPT devices.
F. Q5. WHAT ARE THE CONTEMPORARY CHALLENGES
AND GAPS IN THE SMART ERA OF 5G TECHNOLOGY
BY HAVING BC WITH GC
Most applications known in this research settled on 5G
and BC. 5G is a modish technology as reported to study
by 2030 the endeavor of smart devices and 5G will be
12 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
everywhere like smart cities, vehicles, banking, healthcare,
agriculture, farming, TVs, smart homes, vacuum cleaners,
furniture as in figure 1. Even so, some study gaps also have
been indicated. The primary study gap is that current articles
have not included working of 5G with BC and GC based
methodology, which needs more study shortly.
TABLE 4: Publication Channels of the selected research
Publication source References
Elsevier Journal of Network
and Computer Applications
[58]
Elsevier Computers & Indus-
trial Engineering
[30]
Conference IEEE Wireless
Communications
[57]
Conference IEEE 86th Vehic-
ular Technology Conference
(VTC-Fall)
[59]
MDPI Signals [39]
Elsevier Computer Communi-
cations
[51]
MDPI Information [31]
IEEE Access [60], [14],
[40], [66],
[55]
IEEE Transactions on
Green Communications and
Networking
[17]
International Conference
on Information Science and
Communication Technology
(ICISCT) IEEE
[61]
IEEE Network [62], [64],
[65], [74]
IEEE communications maga-
zine
[43]
Springer International Con-
ference on Industrial Net-
works and Intelligent Systems
[18]
Springer Wireless Networks [54]
Springer Mobile Networks
and Applications
[44]
Another search notch is mostly study is supported on
security problems, low latency, privacy, transparency, and
high speed but according to this study, there is no work
found on smart energy. It can be ascertained to hold on to the
energy consumption. Furthermore, according to this study,
not a single study has been found on 5G with BC and GC. All
the current literature is on 5G with BC OR 5G with GC OR
BC with GC. Moreover, it will obviate more study shortly.
There is another gap in the limited number of publications on
conference-level publishing channels. Mostly study is found
in known journals. SO, high-grade symposium and confer-
ences are requisite which accent on 5G with BC and GC.
Furthermore, for the implementation of such kinds of smart
devices, staff training for maintenance and management is
required. Training can be the largest loss of money and time.
Lastly, the acceptance level for such kinds of devices is very
low. Public or authorized organizations always took too much
time to accept this kind of smart device, mostly the gap
between the invention and implementation is more than 10
years. Which is the biggest loss of technology, time, and
money as well.
G. Q6. WHAT APPROACHES HAVE BEEN REPORTED IN
THE 5G AND BC STUDY TO ADDRESS POWER
PROBLEMS?
In figure 12 conclusions pretense that nearly all of the
approaches to the study nonce the method (8)(34%), model,
and architecture (3)(13%). Leftover approaches depict a
framework (4)(17%), guideline (5)(21%), and infrastructure
(2)(8%). The various framework has been proposed to solve
the highlighted issues. 5G with BC will enactment as the
grit of smart devices and setting the effectuation for the
evolution of smart system but it could not assist to relieve
the energy by devising auto recharging devices [56]. GC is a
corking contest for the sustainable evolution of networks. For
protract lifetime network Energy harvesting technology is an
auspicious approach [57]. A taxonomy is given with different
protocols and approaches used in this study figure 13.
H. QUALITY ASSESSMENT
The QA score for every chosen article is in the given table
5. Nearly 8% of the chosen articles having an average score,
39% hold standard numbers, and 9% grasp the nether scores.
QA can assist the experts to choose apt articles sited on
defined asserted in Subsection.
TABLE 5: Quality assessment score
Ref T.Score No.
[74] 4.5 1
[58] [30] [62] [43] [60] [40]
[65] [14] [55]
4 9
[57] [14] [17] [64] [54] [44] 3.5 6
[51] [66] 3 2
[61] [59] 2 2
[31] [39] [18] 1.5 3
VOLUME 1, 2020 13
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 11: Trends in studies by year
TABLE 6: Classification of the selected studies
Ref. Classification Quality Assessment
P.Year P.channel Research Type Research Topics Approach Strategy (1) (2) (3) (4) T.Score
[58] 2017 Journal Survey A survey on green
communication and
security challenges
in 5G networks
Architecture Green Com-
munication
0.5 0.5 1 2 4
[30] 2020 Journal Investigation
Study
Looking at energy
through the lens
of Industry 4.0:
A systematic
literature review
of concerns and
challenges
Guideline PICOC 0.5 0.5 1 2 4
[57] 2017 Conference Solution
Proposal
Software Defined
Energy Harvesting
Networking
for 5G Green
Communications
Architecture SD-EHN for
5G green
communica-
tion
0.5 0 1 2 3.5
14 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
TABLE 6: Continued Classification of the selected studies
Ref. Classification Quality Assessment
P.year P.Channel Research type Research Topics Application Approach (1) (2) (3) (4) T.score
[59] 2017 Conference Experimental
research
Wireless
Information and
Power Transfer:
Issues, Advances,
and Challenges
Method SWIPT, RF
WPT
0.5 0.5 1 0 2
[39] 2020 Journal Solution
Proposal
Mobility
Management-
Based Autonomous
Energy-Aware
Framework Using
Machine Learning
Approach in Dense
Mobile Networks
Framework ML
algorithms
0.5 0.5 0.5 0 1.5
[51] 2018 Journal Solution
Proposal
Energy Sustainable
Paradigms and
Methods for Future
Mobile Networks: a
Survey
Guideline SDN and
CRN
0.5 0.5 1 2 3
[31] 2020 Journal Experimental
Research
A New Green
Prospective of Non-
orthogonal Multiple
Access (NOMA)
for 5G
Model 5G and
NOMA
0.5 0.5 0.5 0 1.5
[60] 2016 Journal Experimental
Research
Power Optimization
in 5G Networks: A
Step Towards Green
Communication
Method EE
techniques
0.5 0.5 1 2 4
[17] 2017 Journal Experimental
Research
A green communi-
cation model for 5G
systems
Model SCNs 0.5 0.5 0.5 2 3.5
[61] 2020 Conference Implementation
Solution
A Review of
Techniques
and Challenges
in Green
Communication
Model D2D
commu-
nication and
mMIMO
system
1 0.5 0.5 0 2
VOLUME 1, 2020 15
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
TABLE 6: Continued Classification of the selected studies
Ref. Classification Quality Assessment
P.year P.Channel Research type Research Topics Application Approach (1) (2) (3) (4) T.score
[62] 2019 Journal Solution
Proposal
Blockchain
Empowered
Wireless Power
Transfer for Green
and Secure Internet
of Things
Architecture DPoS and
WLPTS
1 0.5 0.5 2 4
[43] 2020 Journal Solution
Proposal
A Life Cycle
Framework of
Green IoT-Based
Agriculture and Its
Finance, Operation,
and Management
Issues
Framework Green IOT
system
0.5 0.5 1 2 4
[64] 2019 Journal Experimental
research
Trust-Enhanced
Content Delivery in
Blockchain-Based
Information-
Centric Networking
Model BICN 0.5 0.5 0.5 2 3.5
[40] 2020 Journal Investigation re-
search
Security and
Privacy for
Green IoT-
Based Agriculture:
Review, Blockchain
Solutions, and
Challenges
Infrastructure Consensus
algorithms
for IoT and
blockchain
0.5 0.5 1 2 4
[65] 2020 Journal Solution
Proposal
Blockchain
Technology
Toward Green
IoT: Opportunities
and Challenges
Method Green IOT
Ecosystem
0.5 0.5 1 2 4
[66] 2018 Journal Experimental
research
LNSC: A Security
Model for Electric
Vehicle and
Charging Pile
Management Based
on Blockchain
Ecosystem
Model LNSC 0.5 0.5 0 2 3
16 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
TABLE 6: Continued Classification of the selected studies
Ref. Classification Quality Assessment
P.year P.Channel Research type Research Topics Application Approach (1) (2) (3) (4) T.score
[74] 2020 Journal Experimental
research
Blockchain-
Empowered
Secure Spectrum
Sharing for 5G
Heterogeneous
Networks
Framework Large-scale
Spectrum in
5G
1 0.5 1 2 4.5
[14] 2019 Journal Survey How to Meet In-
creased Capacities
by Future Green 5G
Networks: A Sur-
vey
Guideline Green Radio 0.5 0.5 1 2 4
[18] 2019 Conference Solution
Proposal
User-Pairing
Scheme in NOMA
Systems: A PSO-
Based Approach
Method SDN 0.5 0.5 0.5 0 1.5
[54] 2019 Journal Experimental
research
Sustainable green
networking:
exploiting degrees
of freedom towards
energy-efficient 5G
systems
Architecture mMIMO 0.5 0.5 1 1.5 3.5
[55] 2020 Journal Solution
Proposal
Access Point
Switch ON/OFF
Strategies for Green
Cell-Free Massive
MIMO Networking
Framework Green
cell-free
mMIMO
0.5 0.5 1 2 4
[44] 2019 Journal Experimental
research
Policy-Based
Management for
Green Mobile
Networks Through
Software-Defined
Networking
Method SDN 0.5 0.5 1 1.5 3.5
[73] 2019 Journal Solution
Proposal
Blockchain and
deep reinforcement
learning
empowered
intelligent 5G
beyond
Method Deep
learning and
Blockchain
0.5 0.5 0.5 2 3.5
VOLUME 1, 2020 17
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
V. DISCUSSION
SMS is cited on 5G communication with BC. Researches
are supposed to answer the RQ’s tendered at the start of this
research. The conclusions show that GC have been proposed
to solve the power issues in Green based 5G communication.
A. PROPOSED TAXONOMY
In this 5G communication, a strategy has been used to
overcome the power consumption among smart devices.
For IoE energy storage is very essential to overcome en-
ergy consumption. Integrating green BC within the smart
devices for security purposes is the first step to wireless
smart devices. It can increase the trust level on devices
due to this green renewable distributed ledger and secure
technology. The study on 5G applications with green BC
identifies multiple issues like power consumption and trust
concerns. These strategies can be used to overcome energy
issues in different contexts. The strategies have been there-
fore classified into some main subsections based on their
method: 5G, Green radio signal, WPT, SDN, green BC, IoTs,
and green computing. 5G always has a fast, decentralized,
reliable, and transparent feeling upon the development of
smart devices. The realization shows the continuous effort
of the fifth generation which shows the best result in the
connectivity of smart devices. Fast speed always attracts the
users towards IoE. However, green radio signals also have a
close relationship with this advanced technology because it
is energy efficient and are having full radio flexibility at the
spearhead of this smart system design. RF radio signals can
cover all the requisite bands and bandwidths with meeting
all specifications. BC with its unconventional conviction of
decentralized power can anticipate security, immutability
for storage, high level of data privacy, transparency, of 5G
heterogeneous data. BC is contemplated to be a requisite tool
to accomplish the execution expectation for 5G systems with
the lowest costs and management aloft. Energy consumption
encompassing both downlinks and uplinks for IOE with 5G
communication. 5G are on the purview as IoE is getting
the center space as smart devices are anticipated to form
a significant part of this 5G network. IoT-based technolo-
gies such as m2m communication accompanied with smart
data analytics are anticipated to sharply varying orientation
of various industries. Similarly green methodology for 5G
Communication network and gleaning energy for GC, with
a blistering stipulation of wireless communication. Lastly,
micro-integration also furnished the communal facet. It tied
up multiple strategies together. Micro-integration of different
strategies created a catchy environment for giving the idea
to overcome energy consumption in 5G communication for
smart and efficient devices. These tiers furnished the way
to overcome the power consumption problem among 5G
communication devices and green BC with integrating GC.
This state of the art could assist us in resolving the power
consumption issues by following different strategies. Taxon-
omy has been proposed in figure 13 to help the researcher in
the following study.
B. MAIN FINDINGS
Total 318 articles are keenly analyzed by their names, key-
words, and abstract, 295 papers were spurned and 23 articles
were cautiously selected. The selection of 23 papers was
observed to give the answers to given queries. The selected
studies are bestowed with the interpretation in classification
conclusions and their quires. Our main findings are listed
below:
Most of the studies taken from 2016 to 2020. The rise of
technology is in 2020. 5G with BC found less in 2016-
2018.
Two different publish channels have been selected
where 82% articles found in different journals and 18%
articles found in conferences.
Six (6) types of research were identified, such as evalu-
ation research and survey are (2 articles)(8%), Solution
proposal (8 studies)(34%), Experimental study (9 arti-
cles)(39%), and only 1 article found as implementation
study, and investigation study (3 studies)(13%).
Most of the studies are based on 5G with BC, 5G and
GC, BC and GC. We are not able to find 5G with BC and
GC for introducing the power efficient smart devices.
So 5G is expected to evolve into green networks, which
deliver a high quantity of services and energy efficiency.
Current challenges are that according to this study latest
literature is not having study 5G with Blockchain and
Green computing-based methods.
Most of the approaches of research type present method
34%, model 13% and architecture 13%. The remaining
approaches describe a framework 17%, guideline 21%,
and infrastructure 8%.
Green blockchain along with SDN approach and WPT
protocol can be helpful for IOE to resolve the energy
18 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 12: Approaches used in selected studies
consumption issue by generating renewable data pack-
ets.
C. OPEN CHALLENGES
Open challenges are being discussed in this fragment. After
the integration of BC still, some issues are reported such as
power consumption, renewable data packets, and trust issues.
Energy storage and expansion of battery life is important
phenomena in IOE. Another open issue is being observed
that is the adoption of any new technology is very slow
because of trust issues. No one is ready to accept any new
technology immediately. According to the observation every
technology needs almost 10 years to be a part of our lives.
This trust gap is the big loss of money and time we need
to overcome this loss. We need to take some key steps to
remove this acceptance gap. Moreover for adopting these
green blockchain-based 5G devices, it is necessary to train
the staff for the maintenance and management of the latest
technology, it will also take time and money to produce
experts. So, Trust and education level need to be improved by
defining some standards. 5G must be integrated with Green
BC and GC to overcome some of these power issues. By
integrating the SDN approach along with green BC and WPT
protocol in GC-based 5G communication performance can
be much better.
VI. CONCLUSION
This study reports an SMS of the fifth generation with green
BC. This comprehensive review has been based on 23 stud-
ies. After having an in-depth study of the previous studies,
it has been concluded that for power concerns green BC and
GC can be merged with 5G.
Considering this motility condition, green computing will
be merging with 5G for developing energy-efficient applica-
tions. The main intent of this study was to scrutinize the afoot
existing subjects and concise them in 5G with BC. Between
2016 and 2020, 318 papers were chosen from an initial set
of 80700 studies, 23 were chosen from that selection, and
categorized them as intent criteria: research and contribution
kind, 5G strategy, topics examined articles, and approaches.
It is assumed that 5G with BC has acquired valued attention
since 2020. Most elected studies were founded in journals,
but some mature articles were also from conferences. Three
kinds of esquires are founded: experimental solution, solu-
tion proposal, and evaluation research. The designs and im-
plementations of 5G with BC and GC were not the normally
addressed articles in this mapping study.
But the searching techniques to gauge energy efficiency
introducing green computing and green BC with 5G tech-
nology in the future. For improving energy efficiency in IOE,
WPT protocol with SDN approach can be merged with green
VOLUME 1, 2020 19
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
FIGURE 13: Taxonomy of 5G, Blockchain, and Green Computing
BC for producing renewable data packets to save energy.
Moreover, a taxonomy is presented in this study which can
help other experts to identify many methodologies which
can enhance the performance of the study. However, further
evaluation research must be regulated to appraise existing
strategies.
REFERENCES
[1] R. M. Haris and S. Al-Maadeed, “Integrating blockchain technology in
5g enabled iot: A review,” in 2020 IEEE International Conference on
Informatics, IoT, and Enabling Technologies (ICIoT), pp. 367–371, IEEE,
2020.
[2] G. Praveen, V. Chamola, V. Hassija, and N. Kumar, “Blockchain for 5g: A
prelude to future telecommunication,” IEEE Network, 2020.
[3] D. C. Nguyen, P. N. Pathirana, M. Ding, and A. Seneviratne, “Blockchain
for 5g and beyond networks: A state of the art survey,” Journal of Network
and Computer Applications, p. 102693, 2020.
[4] K. Alshouiliy and D. P. Agrawal, “Confluence of 4g lte, 5g, fog, and cloud
computing and understanding security issues,” in Fog/Edge Computing
For Security, Privacy, and Applications, pp. 3–32, Springer, 2021.
[5] A. Arooj, M. S. Farooq, T. Umer, G. Rasool, and B. Wang, “Cyber physical
and social networks in iov (cpsn-iov): A multimodal architecture in edge-
based networks for optimal route selection using 5g technologies,” IEEE
Access, vol. 8, pp. 33609–33630, 2020.
[6] A. Osseiran, F. Boccardi, V. Braun, K. Kusume, P. Marsch, M. Maternia,
O. Queseth, M. Schellmann, H. Schotten, H. Taoka, et al., “Scenarios for
5g mobile and wireless communications: the vision of the metis project,”
IEEE communications magazine, vol. 52, no. 5, pp. 26–35, 2014.
[7] A. El Azzaoui, S. K. Singh, Y. Pan, and J. H. Park, “Block5gintell:
Blockchain for ai-enabled 5g networks,” IEEE Access, vol. 8, pp. 145918–
145935, 2020.
[8] M. S. Ali, M. Vecchio, M. Pincheira, K. Dolui, F. Antonelli, and M. H.
Rehmani, “Applications of blockchains in the internet of things: A com-
prehensive survey,” IEEE Communications Surveys & Tutorials, vol. 21,
no. 2, pp. 1676–1717, 2018.
[9] Z. Haddad, M. M. Fouda, M. Mahmoud, and M. Abdallah, “Blockchain-
based authentication for 5g networks,” in 2020 IEEE International Con-
ference on Informatics, IoT, and Enabling Technologies (ICIoT), pp. 189–
194, IEEE, 2020.
[10] S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” tech. rep.,
Manubot, 2019.
[11] D. M. Vistro, A. U. Rehman, A. Abid, M. S. Farooq, and M. Idrees,
“Analysis of cloud computing based blockchain issues and challenges,
Journal of Critical Reviews, vol. 7, no. 10, pp. 1482–1492, 2020.
[12] I. Mistry, S. Tanwar, S. Tyagi, and N. Kumar, “Blockchain for 5g-enabled
iot for industrial automation: A systematic review, solutions, and chal-
lenges,” Mechanical Systems and Signal Processing, vol. 135, p. 106382,
2020.
[13] T. Hewa, A. Kalla, A. Nag, M. Ylianttila, and M. Liyanage, “Blockchain
for 5g and iot: Opportunities and challenges,”
[14] A. Bohli and R. Bouallegue, “How to meet increased capacities by future
green 5g networks: a survey,” IEEE Access, vol. 7, pp. 42220–42237,
2019.
[15] D. Wang, “Meeting green computing challenges,” in 2008 10th Electronics
Packaging Technology Conference, pp. 121–126, IEEE, 2008.
[16] A. Behmanesh, N. Sayfouri, and F. Sadoughi, “Technological features of
internet of things in medicine: A systematic mapping study, Wireless
Communications and Mobile Computing, vol. 2020, 2020.
20 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
[17] M. M. Mowla, I. Ahmad, D. Habibi, and Q. V. Phung, “A green communi-
cation model for 5g systems,” IEEE Transactions on Green Communica-
tions and Networking, vol. 1, no. 3, pp. 264–280, 2017.
[18] A. Masaracchia, L. D. Nguyen, T. Q. Duong, D. B. da Costa, and T. Le-
Tien, “User-pairing scheme in noma systems: A pso-based approach,” in
International Conference on Industrial Networks and Intelligent Systems,
pp. 18–25, Springer, 2019.
[19] R. Ratasuk, A. Prasad, Z. Li, A. Ghosh, and M. A. Uusitalo, “Recent
advancements in m2m communications in 4g networks and evolution
towards 5g,” in 2015 18th International Conference on Intelligence in Next
Generation Networks, pp. 52–57, IEEE, 2015.
[20] T. Hewa, A. Bracken, M. Ylianttila, and M. Liyanage, “Blockchain-based
automated certificate revocation for 5g iot,” in ICC 2020-2020 IEEE
International Conference on Communications (ICC), pp. 1–7, IEEE, 2020.
[21] J. Fu and C. L. Y. Chen, “The contribution and prospect of 5g technology to
china’s economic development,” Journal of Economic Science Research|
Volume, vol. 3, no. 03, 2020.
[22] D. Unal, M. Hammoudeh, and M. S. Kiraz, “Policy specification and
verification for blockchain and smart contracts in 5g networks,” ICT
Express, vol. 6, no. 1, pp. 43–47, 2020.
[23] J. Frizzo-Barker, P. A. Chow-White, P. R. Adams, J. Mentanko, D. Ha,
and S. Green, “Blockchain as a disruptive technology for business: A
systematic review,” International Journal of Information Management,
vol. 51, p. 102029, 2020.
[24] S. Huckle, R. Bhattacharya, M. White, and N. Beloff, “Internet of things,
blockchain and shared economy applications,” Procedia computer science,
vol. 98, pp. 461–466, 2016.
[25] M. M. Queiroz, S. Fosso Wamba, M. De Bourmont, and R. Telles,
“Blockchain adoption in operations and supply chain management: em-
pirical evidence from an emerging economy,” International Journal of
Production Research, pp. 1–17, 2020.
[26] R. Beck, C. Müller-Bloch, and J. L. King, “Governance in the blockchain
economy: A framework and research agenda,” Journal of the Association
for Information Systems, vol. 19, no. 10, p. 1, 2018.
[27] F. Hawlitschek, B. Notheisen, and T. Teubner, “The limits of trust-
free systems: A literature review on blockchain technology and trust in
the sharing economy,” Electronic commerce research and applications,
vol. 29, pp. 50–63, 2018.
[28] F. Hawlitschek, B. Notheisen, and T. Teubner, “A 2020 perspective on “the
limits of trust-free systems: A literature review on blockchain technology
and trust in the sharing economy”,” Electronic Commerce Research and
Applications, vol. 40, p. 100935, 2020.
[29] S. Ahluwalia, R. V. Mahto, and M. Guerrero, “Blockchain technology and
startup financing: A transaction cost economics perspective,” Technologi-
cal Forecasting and Social Change, vol. 151, p. 119854, 2020.
[30] F. S. T. da Silva, C. A. da Costa, C. D. P. Crovato, and R. da Rosa Righi,
“Looking at energy through the lens of industry 4.0: A systematic literature
review of concerns and challenges,” Computers & Industrial Engineering,
p. 106426, 2020.
[31] V. Basnayake, D. N. K. Jayakody, V. Sharma, N. Sharma, P. Muthuchi-
dambaranathan, and H. Mabed, “A new green prospective of non-
orthogonal multiple access (noma) for 5g,” Information, vol. 11, no. 2,
p. 89, 2020.
[32] A. Hammoud, H. Sami, A. Mourad, H. Otrok, R. Mizouni, and J. Bentahar,
“Ai, blockchain and vehicular edge computing for smart and secure iov:
Challenges and directions,”
[33] X. Lin, J. Wu, S. Mumtaz, S. Garg, J. Li, and M. Guizani, “Blockchain-
based on-demand computing resource trading in iov-assisted smart city,
IEEE Transactions on Emerging Topics in Computing, 2020.
[34] S. Sharma and B. Kaushik, “A survey on internet of vehicles: Applica-
tions, security issues & solutions,” Vehicular Communications, vol. 20,
p. 100182, 2019.
[35] X. Wang, P. Zeng, N. Patterson, F. Jiang, and R. Doss, “An improved
authentication scheme for internet of vehicles based on blockchain tech-
nology,” IEEE access, vol. 7, pp. 45061–45072, 2019.
[36] C. R. Storck and F. Duarte-Figueiredo, “A survey of 5g technology evo-
lution, standards, and infrastructure associated with vehicle-to-everything
communications by internet of vehicles,” IEEE Access, vol. 8, pp. 117593–
117614, 2020.
[37] A. Vangala, A. K. Das, N. Kumar, and M. Alazab, “Smart secure sensing
for iot-based agriculture: Blockchain perspective,” 2020.
[38] I. Sittón-Candanedo, R. S. Alonso, Ó. García, A. B. Gil, and S. Rodríguez-
González, “A review on edge computing in smart energy by means of a
systematic mapping study,” Electronics, vol. 9, no. 1, p. 48, 2020.
[39] S. M. Asad, S. Ansari, M. Ozturk, R. N. B. Rais, K. Dashtipour, S. Hussain,
Q. H. Abbasi, and M. A. Imran, “Mobility management-based autonomous
energy-aware framework using machine learning approach in dense mo-
bile networks,” Signals, vol. 1, no. 2, pp. 170–187, 2020.
[40] M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, “Security and
privacy for green iot-based agriculture: Review, blockchain solutions, and
challenges,” IEEE Access, vol. 8, pp. 32031–32053, 2020.
[41] M. S. Farooq, S. Riaz, A. Abid, T. Umer, and Y. B. Zikria, “Role of
iot technology in agriculture: A systematic literature review,” Electronics,
vol. 9, no. 2, p. 319, 2020.
[42] J. Song, Q. Zhong, W. Wang, C. Su, Z. Tan, and Y. Liu, “Fpdp: Flexible
privacy-preserving data publishing scheme for smart agriculture,” IEEE
Sensors Journal, 2020.
[43] J. Ruan, Y. Wang, F. T. S. Chan, X. Hu, M. Zhao, F. Zhu, B. Shi, Y. Shi,
and F. Lin, “A life cycle framework of green iot-based agriculture and
its finance, operation, and management issues,” IEEE communications
magazine, vol. 57, no. 3, pp. 90–96, 2019.
[44] A. H. Celdrán, M. G. Pérez, F. J. G. Clemente, and G. M. Pérez, “Policy-
based management for green mobile networks through software-defined
networking,” Mobile Networks and Applications, vol. 24, no. 2, pp. 657–
666, 2019.
[45] H. Zhang, J. Li, B. Wen, Y. Xun, and J. Liu, “Connecting intelligent things
in smart hospitals using nb-iot,” IEEE Internet of Things Journal, vol. 5,
no. 3, pp. 1550–1560, 2018.
[46] S. K. Singh, S. Rathore, and J. H. Park, “Blockiotintelligence: A
blockchain-enabled intelligent iot architecture with artificial intelligence,”
Future Generation Computer Systems, vol. 110, pp. 721–743, 2020.
[47] M. A. Naeem, O. Aziz, and N. Jamil, “Optimising hybridjoin to process
semi-stream data in near-real-time data warehousing.,” in CONF-IRM,
p. 27, 2019.
[48] O. Aziz, T. Anees, and E. Mehmood, “An efficient data access approach
with queue and stack in optimized hybrid join,” IEEE Access, pp. 1–1,
2021.
[49] F. A. Khan, M. Asif, A. Ahmad, M. Alharbi, and H. Aljuaid, “Blockchain
technology, improvement suggestions, security challenges on smart grid
and its application in healthcare for sustainable development,” Sustainable
Cities and Society, vol. 55, p. 102018, 2020.
[50] A. H. Mayer, C. A. da Costa, and R. d. R. Righi, “Electronic health records
in a blockchain: a systematic review,” Health informatics journal, vol. 26,
no. 2, pp. 1273–1288, 2020.
[51] N. Piovesan, A. F. Gambin, M. Miozzo, M. Rossi, and P. Dini, “Energy
sustainable paradigms and methods for future mobile networks: A survey,”
Computer Communications, vol. 119, pp. 101–117, 2018.
VOLUME 1, 2020 21
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
[52] L. Ivanenko, E. Karaseva, and E. Solodova, “Clusters, digital economy and
smart city,” in Digital Transformation of the Economy: Challenges, Trends
and New Opportunities, pp. 291–295, Springer, 2020.
[53] E. Ismagilova, L. Hughes, N. P. Rana, and Y. K. Dwivedi, “Security,
privacy and risks within smart cities: Literature review and development of
a smart city interaction framework,” Information Systems Frontiers, pp. 1–
22, 2020.
[54] M. Yao, M. M. Sohul, X. Ma, V. Marojevic, and J. H. Reed, “Sustainable
green networking: exploiting degrees of freedom towards energy-efficient
5g systems,” Wireless Networks, vol. 25, no. 3, pp. 951–960, 2019.
[55] G. Femenias, N. Lassoued, and F. Riera-Palou, “Access point switch on/off
strategies for green cell-free massive mimo networking,” IEEE Access,
vol. 8, pp. 21788–21803, 2020.
[56] S. K. Rao and R. Prasad, “Impact of 5g technologies on smart city
implementation,” Wireless Personal Communications, vol. 100, no. 1,
pp. 161–176, 2018.
[57] X. Huang, R. Yu, J. Kang, Y. Gao, S. Maharjan, S. Gjessing, and Y. Zhang,
“Software defined energy harvesting networking for 5g green communica-
tions,” IEEE Wireless Communications, vol. 24, no. 4, pp. 38–45, 2017.
[58] P. Gandotra and R. K. Jha, “A survey on green communication and security
challenges in 5g wireless communication networks,” Journal of Network
and Computer Applications, vol. 96, pp. 39–61, 2017.
[59] T. D. P. Perera, D. N. K. Jayakody, S. Chatzinotas, and V. Sharma, “Wire-
less information and power transfer: Issues, advances, and challenges,” in
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), pp. 1–7,
IEEE, 2017.
[60] A. Abrol and R. K. Jha, “Power optimization in 5g networks: A step
towards green communication,” IEEE Access, vol. 4, pp. 1355–1374,
2016.
[61] S. Jamil, M. S. Abbas, M. Umair, Y. Hussain, et al., “A review of
techniques and challenges in green communication,” in 2020 International
Conference on Information Science and Communication Technology
(ICISCT), pp. 1–6, IEEE, 2020.
[62] L. Jiang, S. Xie, S. Maharjan, and Y. Zhang, “Blockchain empowered
wireless power transfer for green and secure internet of things,” IEEE
Network, vol. 33, no. 6, pp. 164–171, 2019.
[63] K. Fan, Y. Ren, Y. Wang, H. Li, and Y. Yang, “Blockchain-based efficient
privacy preserving and data sharing scheme of content-centric network in
5g,” IET Communications, vol. 12, no. 5, pp. 527–532, 2017.
[64] H. Li, K. Wang, T. Miyazaki, C. Xu, S. Guo, and Y. Sun, “Trust-enhanced
content delivery in blockchain-based information-centric networking,
IEEE Network, vol. 33, no. 5, pp. 183–189, 2019.
[65] P. K. Sharma, N. Kumar, and J. H. Park, “Blockchain technology toward
green iot: Opportunities and challenges,” IEEE Network, 2020.
[66] X. Huang, C. Xu, P. Wang, and H. Liu, “Lnsc: A security model for electric
vehicle and charging pile management based on blockchain ecosystem,
IEEE Access, vol. 6, pp. 13565–13574, 2018.
[67] O. Aziz, M. S. Farooq, A. Abid, R. Saher, and N. Aslam, “Research trends
in enterprise service bus (esb) applications: a systematic mapping study,
IEEE Access, vol. 8, pp. 31180–31197, 2020.
[68] I. Obaid, M. S. Farooq, and A. Abid, “Gamification for recruitment and
job training: Model, taxonomy, and challenges,” IEEE Access, vol. 8,
pp. 65164–65178, 2020.
[69] K. Petersen, R. Feldt, S. Mujtaba, and M. Mattsson, “Systematic mapping
studies in software engineering,” in 12th International Conference on
Evaluation and Assessment in Software Engineering (EASE) 12, pp. 1–
10, 2008.
[70] A. Fernandez, E. Insfran, and S. Abrahão, “Usability evaluation methods
for the web: A systematic mapping study,” Information and software
Technology, vol. 53, no. 8, pp. 789–817, 2011.
[71] Z. A. Barmi, A. H. Ebrahimi, and R. Feldt, “Alignment of requirements
specification and testing: A systematic mapping study,” in 2011 IEEE
Fourth International Conference on Software Testing, Verification and
Validation Workshops, pp. 476–485, IEEE, 2011.
[72] T. Huang, W. Yang, J. Wu, J. Ma, X. Zhang, and D. Zhang, “A survey on
green 6g network: Architecture and technologies,” IEEE Access, vol. 7,
pp. 175758–175768, 2019.
[73] Y. Dai, D. Xu, S. Maharjan, Z. Chen, Q. He, and Y. Zhang, “Blockchain
and deep reinforcement learning empowered intelligent 5g beyond,” IEEE
Network, vol. 33, no. 3, pp. 10–17, 2019.
[74] Z. Zhou, X. Chen, Y. Zhang, and S. Mumtaz, “Blockchain-empowered
secure spectrum sharing for 5g heterogeneous networks,” IEEE Network,
vol. 34, no. 1, pp. 24–31, 2020.
[75] F. Imbault, M. Swiatek, R. De Beaufort, and R. Plana, “The green
blockchain: Managing decentralized energy production and consumption,”
in 2017 IEEE International Conference on Environment and Electrical
Engineering and 2017 IEEE Industrial and Commercial Power Systems
Europe (EEEIC/I&CPS Europe), pp. 1–5, IEEE, 2017.
[76] A. Montazerolghaem, M. H. Yaghmaee, and A. Leon-Garcia, “Green
cloud multimedia networking: Nfv/sdn based energy-efficient resource al-
location,” IEEE Transactions on Green Communications and Networking,
vol. 4, no. 3, pp. 873–889, 2020.
[77] M. Aboualalaa, H. Elsadek, and R. K. Pokharel, “Wpt, recent techniques
for improving system efficiency,” in Wireless Power Transfer–Recent
Development, Applications and New Perspectives, IntechOpen, 2021.
22 VOLUME 1, 2020
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI
10.1109/ACCESS.2021.3075642, IEEE Access
Author et al.: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS
ADEL KHELIFI received the Ph.D. degree
from the Engineering School of High Tech-
nology,Canada, in 2005. He was the Dean of
the Computer Information Technology, American
University in the Emirates, Dubai, United Arab
Emirates.He has held impressive past careers. He
was a Lecturer with the Engineering School of
Technology, Canada. He was also a United Na-
tions MSF, Canada, the Ministry of Relations with the Citizen and Immigra-
tion, Canada, and the Ministry of Finances, Tunisia. He is currently a Faculty
Member with Abu Dhabi University. He holds a high-level of knowledge and
expertise. He is involved in prompting the open source software paradigm
in the region. As a Canadian ISO Member in software engineering, he is
contributing in developing software measurement standards. His research
interest includes archeology.
OMER AZIZ has received his MS in Computer
Science Degree from National College of Business
Administration & Economics, Lahore. He is doing
Ph.D. in Computer Science from University of
Management and Technology, Lahore, Pakistan
and working as Lecturer in Department of Com-
puter Science, NFC Institute of Engineering &
Technology, Multan. He has fourteen years of pro-
fessional experience in education and industry. He developed software ap-
plications, websites and mobile application for different companies around
the globe. He has strong analysis and software architecture design skills
according to emerging software market demand of Data Science, Machine
Learning, Cross Platform and Artificial Intelligence.
MUHAMMAD SHOAIB FAROOQ (Member,
IEEE) is currently working as a Professor of com-
puter science with the University of Management
and Technology, Lahore. He is also an affiliate
member of George Mason University, Fairfax, VA,
USA. He possesses more than 24 years of teaching
experience in the field of computer science. He
has published many peer-reviewed international
journal and conference papers. His research interests include theory of
programming languages, big data, the IoT, the Internet of Vehicles, machine
learning, as well as distributed systems and education.
ADNAN ABID (Member, IEEE) was born in Gu-
jranwala, Pakistan, in 1979. He received the B.S.
degree from the National University of Computer
and Emerging Science, Pakistan, in 2001, the M.S.
degree in information technology from the Na-
tional University of Science and Technology, Pak-
istan, in 2007, and the Ph.D. degree in computer
science from the Politecnico DiMilano, Italy, in
2012. He has spent one year in EPFL, Switzerland, to complete his M.S. the-
sis. His research interests include computer science education, information
retrieval, and data management. He is currently working as a Professor with
the Department of Computer Science, University of Management and Tech-
nology, Pakistan. He has almost 40 publications in different international
journals and conferences. He has served as a reviewer in many international
conferences and journals.
FATIMA BUKHARI She received the B.S. degree
from the Women University, Multan, Pakistan. She
is doing M.S. degree in Computer Science from
the NFC Institute of Engineering & Technology
Multan, Pakistan. She is teaching in College, Mul-
tan, Pakistan. Her area of interest are 5G, Smart
Technologies, Blockchain, Green Computing, and
Data Science.
VOLUME 1, 2020 23
... Min-NL Max-NL Average NL Proposed 104 108 106.5 Ref. [27] 102 108 105.2 Ref. [28] 102 108 104.5 Ref. [29] 106 108 107 Ref. [30] 110 112 111.75 Ref. [31] 108 110 109.25 Ref. [32] 108 110 107.5 Figure 5 Non-linearity performance comparison of proposed S-box with other recent S-boxes ...
... As it is shown in the below table our Novel S-Box, the largest value for SAC is 0.5938, the smallest value for SAC is 0.4219 and the average value for SAC is 0.498. [27] 0.498 103.7 Ref. [28] 0.498 104.64 Ref. [29] 0.497 103.5 Ref. [30] 0.502 103.7 Ref. [31] 0.507 102.9 Ref. [32] 0.498 103.5 ...
Article
Full-text available
Information security plays a vital role in the security of data, because data is the most important asset for any organization. So, the first and foremost importance in the functioning of any organization, is the security of its data.To secure data, cryptographic techniques play a vital role in securing data. For that thing, chaos plays a vital role in cryptography. For producing chaos, we have implemented a chaotic map, in which we have implemented linear equation along with exponential equation based on conditions, which integrates chaos in the plain text which makes it less open to crypt-analysis. To make a chaotic map, more robust, it must have some properties, which include High non-linearity, SAC values must be nearer to 0.5 and and it should also satisfy the property of Linear probability, Differential uniformity and BIC value that is Bit Independence Criterion. Moreover the values, we achieved in our S-Box were proved to be competitively better from many S-Boxes which have been designed by now.
... 'Smart grid' and 'microgrid' technologies represent key components in transitioning towards more adaptive, self-sufficient energy networks that adeptly incorporate renewable energy sources and foster sustainability and enhanced energy management. These technologies are pivotal in realizing the potential of 'renewable energy' integration within modern energy systems, demonstrating a strong commitment to environmental stewardship and the effective utilization of green energy solutions [154,155]. ...
Article
Full-text available
The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency. However, despite its growing importance, there exists a significant knowledge gap in the holistic understanding of its integration and impact within this sector. Addressing this gap, the current study employs a pioneering approach, marking it as the first comprehensive bibliometric analysis in this field. We have systematically examined 390 journal articles from the Web of Science database, covering the period from 2017 through the end of February 2024, to map the current landscape and thematic trajectories of blockchain technology in renewable energy. The findings highlight several critical thematic areas, including blockchain's integration with smart grids, its role in electric vehicle integration, and its application in sustainable urban energy systems. These themes not only illustrate the diverse applications of blockchain but also its substantial potential to revolutionize energy systems. This study not only fills a crucial gap in existing literature but also sets a precedent for future interdisciplinary research in this domain, bridging theoretical insights with practical applications to fully harness the potential of blockchain in the renewable energy sector.
... These developments include better healthcare, increased inclusion of those with disabilities, and enhanced interconnectedness between people, including between those impacted by the rural-urban divide [30]. Finally, 5G and broadband innovations provide opportunities for better food production, smart cities, and the integration of more sustainable technology within society [8,31]. In light of these opportunities, Wright (2023) notes that, due to the growing reliance on technology in institutions like education, everyone must have an equal opportunity to take advantage of such enhancements in broadband so that existing inequalities are not further exacerbated [32]. ...
Article
Full-text available
Ohio’s 5G and broadband industry is rapidly changing. In this study, we assess the current skills and skills gaps of the state’s workforce and the supply and demand of labor within the 5G and broadband industry. We use a skillshed analysis to determine declining occupations with easy and challenging transitions into 5G and broadband occupations. Based on the analysis, we determine where skills gaps exist and where additional resources are needed to prepare the state’s workforce for the 5G and broadband industry.
... It is necessary to preprocess that data to enhance the results of sentiment analysis. Implementing a broad collection of preprocessing approaches, such as normalization, tokenization will enhance the classification results [54], [55]. ...
Article
By the newly gained attention from several research areas for the field of opinion mining, work in Sentiment Analysis (SA) has also been increased. Sentiment analysis is actually a natural language processing (NLP) method which is implemented to decide whether the data is negative, positive or neutral. This analysis can also utilized to provide most appropriate countermeasures for various issues that are connected with particular fields. It is a contextual extraction and arrangement of text which recognizes and pinpoints subjective information regarding source material and helps to understand the social sentiment of people while monitoring online conversations, comments, tweets, or information on blogs, etc. There is wide utilization of Urdu language in offering perspectives that's why the Urdu language also wants opinion mining as well. In this research, a systematic literature review on sentiment analysis of Urdu language has been performed. This SLR is focusing on explicit research questions and afterward contributions are described appropriately. The findings of the review present a taxonomy that is based on the techniques of sentiment classification. Furthermore, in this SLR, we have extracted all the preprocessing techniques that were used in these 24 papers, the most adopted algorithms by the researchers, the most implemented sentiment analysis approach, and the feature extraction techniques are also extricated. Eventually, a thorough survey is given on all these considerations. After a detailed and deep evaluation, we have computed their accuracy results for better understanding of future researchers.
Article
The pandemic of COVID-19 is a big challenge to human health. Covid-19 pandemics is the worldwide disease starting from Wuhan in December 2019. It effect a huge amount of people. Now the whole world enter in the process of Immunization and vaccinationabst: The COVID-19 pandemic has as of now featured the absence of flexibility in supply chains, as worldwide organizations fall flat from disturbances at single hubs and associations. With regards to COVID-19 pandemic, the fast carry out of its vaccination and the execution of an overall overall immunization process is very difficult, yet its prosperity will rely upon the accessibility of a functional and straightforward conveyance chain that can be inspected by all important beneficiaries. In this research, we examine how blockchain innovation can help in a few parts of vaccine distribution of COVID-19 . We describe a framework in which blockchain innovation is utilized to surety information respectability and changelessness of recipient enlistment for inoculation, keeping away from character burglaries and pantomimes. Brilliant agreements are characterized to screen and track the legitimate immunization conveyance conditions against the protected dealing with rules characterized by antibody makers empowering the attention to all arrange peers. For antibody organization, a straightforward and sealed answer for incidental effects self-revealing is given thinking about recipient and administrated immunization affiliation. A model was carried out utilizing the Ethereum network test, which determine the conditions of COVID-19 Vaccine.. The outcomes got for each chain activity can be checked and approved on the Etherscan. As far as throughput and versatility, the described blockchain framework shows promising outcomes while the assessed cost as far as gas for vaccination situation in light of genuine information stays inside sensible cutoff points.
Article
Education is a significant part of the human life that is changes with time as the world goes through technological advancements. One of these technologies is blockchain that is being integrated into different fields like finance, agriculture and education. The purpose of this paper is to write a review on the work that has been done in the education sector in the last five years. Firstly, after all levels of the selection procedure, 24 articles were chosen to respond to the research questions. Secondly, the exploration of blockchain in the education sector is discussed in detail and how this technology can be of great advantage in the future. Thirdly, taxonomy of blockchain’s use in education is conferred. Lastly, the challenged and gaps of this specific topic were discussed.
Article
Full-text available
When brain, the first virus known introduced in computer systems, requirement of security was raised. Malware Detection turn out to be more vital when network is used for transferring Secret Information. Nowadays our central attributes i.e., Banking, Agriculture, Robotics, Virtual Social Life, Online Multiplayer Gaming, Private Conversations etc. is practicing internet and Malware will abolish everything if we discount it. Lots of new malwares are located by the passage of time, so we need a reliable, fast and trustworthy machine learning technique to handle them. Logistic Regression Classifier is useable for handling such a huge data, majorly counted in this paper. This is a complete SLR that delivers progressive approach in the field of malware detection. It legally reduces time and the cost of researchers. Limitations and future directions of machine learning classifiers to detect malwares are discussed in this paper.
Article
Full-text available
The use of mobile applications is rapidly increasing, due to rapid development of smartphones. Mobile apps, on the other hand, are platform-specific, making development more difficult and expensive. Cross platform or multiplatform application development is a fairly new idea in which developers apply a single code to create apps for several platforms like Android, BlackBerry, Windows Mobile, iOS etc. With the rising usage of these frameworks, it is important to comprehend both contributions and limitations in this emerging field. This paper presents a systematic literature review (SLR) of the research studies in the field of cross platform mobile app Development including approaches and tools. The SLR has been compiled by reviewing the research studies published between 2012-2022 in reputed venues. A Total of 22 studies has been selected and classified by using systematic process. The review has been presented on cross platform approaches, tools and challenges. Further an approach has been proposed for cross platform mobile application development. Finally, open issues and challenges in the field of cross platform have been presented to provide future direction to the researchers.
Article
Full-text available
As rapid decision making in business organizations gain in popularity, the complexity and adaptability of extract, transform, and load (ETL) process of near real-time data warehousing has dramatically increased. The most important part of near real-time data warehouse is to feed new data from different data sources on near-real-time basis. However, this new data is not in the format of the data warehouse therefore, it needs to be transformed into the required format by using transformation algorithms which is essential part of ETL process. A semi-stream join algorithm is required to implement this transformation, for this purpose a HYBRIDJOIN (hybrid join) algorithm has been presented in the literature. However, major design issue with this algorithm is that it uses a single buffer to load the disk partitions and therefore, the algorithm has to wait until the next disk partition overwrites the exiting partition in the disk buffer. As the cost of loading disk partition into disk buffer is the major cost of overall algorithm processing cost, this leaves the performance of algorithm sub-optimal. Moreover, existing approaches only considering the oldest key join attributes for finding the matches with master data and maintaining the Queue of key join attribute. However, performance can be improved if recent and oldest attributes process in parallel. This article addresses the limitation of HYBRIDJOIN by presenting two optimized new algorithms named: Parallel-Hybrid Join (P-HYBRIDJOIN) and Hybrid Join with Queue and Stack (QaS-HYBRIDJOIN). Proposed algorithms aim to reduce major processing cost that is disk I/O as well as to increase number of matching stream tuples. Both of these algorithms perform significantly better in terms of throughput and number of matching tuples as compared to existing approaches. Performance analysis and cost model for proposed algorithms show the best performance using intermittent stream data under limited resources.
Chapter
Full-text available
Wireless power transfer (WPT) technologies have received much more attention during the last decade due to their effectiveness in wireless charging for a wide range of electronic devices. To transmit power between two points without a physical link, conventional WPT systems use two coils, one coil is a transmitter (Tx) and the other is a receiver (Rx) which generates an induced current from the received power. Two main factors control the performance of the WPT schemes, power transfer efficiency (PTE) and transmission range. Power transfer efficiency refers to how much power received by the rechargeable device compared to the power transmitted from the transmitter; while transmission range indicates the longest distance between transmitter and receiver at which the receiver can receive power within the acceptable range of power transfer efficiency. Several studies were carried out to improve these two parameters. Many techniques are used for WPT such as inductive coupling, magnetic resonance coupling, and strongly coupled systems. Recently, metamaterial structures are also proposed for further transfer efficiency enhancement. Metamaterials work as an electromagnetic lensing structure that focuses the evanescent transmitted power into receiver direction. Transmitting & Receiving antenna systems may be used for sending power in certain radiation direction. Optimizing the transmitter antenna and receiver antenna characteristics increase the efficiency for WPT systems. This chapter will present a survey on different wireless power transmission schemes.
Article
Full-text available
A paramount challenge of prohibiting increased CO2 emissions for network densification is to deliver the Fifth Generation (5G) cellular capacity and connectivity demands, while maintaining a greener, healthier and prosperous environment. Energy consumption is a demanding consideration in the 5G era to combat several challenges such as reactive mode of operation, high latency wake up times, incorrect user association with the cells, multiple cross-functional operation of Self-Organising Networks (SON), etc. To address this challenge, we propose a novel Mobility Management-Based Autonomous Energy-Aware Framework for analysing bus passengers ridership through statistical Machine Learning (ML) and proactive energy savings coupled with CO2 emissions in Heterogeneous Network (HetNet) architecture using Reinforcement Learning (RL). Furthermore, we compare and report various ML algorithms using bus passengers ridership obtained from London Overground (LO) dataset. Extensive spatiotemporal simulations show that our proposed framework can achieve up to 98.82% prediction accuracy and CO2 reduction gains of up to 31.83%
Article
Full-text available
The development of the Internet of Things (IoT) and 5th generation wireless network (5G) is set to push the smart agriculture to the next level since the massive and real-time data can be collected to monitor the status of crops and livestock, logistics management, and other important information. Recently, COVID-19 has attracted more human attention to food safety, which also has a positive impact on smart agriculture market share. However, the security and privacy concern for smart agriculture has become more prominent. Since smart agriculture implies working with large sets of data, which usually sensitive, some are even confidential, and once leakage it can expose user privacy. Meanwhile, considering the data publishing of smart agriculture helps the public or investors to real-timely anticipate risks and benefits, these data are also a public resource. To balance the data publishing and data privacy, in this paper, a privacy-preserving data aggregation scheme with a flexibility property uses ElGamal Cryptosystem is proposed. It is proved to be secure, private, and flexible with the analysis and performance simulation.
Article
Full-text available
Nowadays, 5G network is considered to be one of the main pillars of various industries, including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike previous network generations, 5G utilizes complex digital technologies such as massive Multiple Input Multiple Output (mMIMO) and runs over higher radio frequencies. The introduction of new technologies and advanced features in the 5G network raises new challenges for network operators, and merging Artificial Intelligence (AI) is one of the effective solutions to address these complexities. However, AI-enabled 5G network engenders security concerns and requires improvement to meet the standardization and qualification of the new network generation. To mitigate these dilemmas, Blockchain must be integrated. Blockchain, as a decentralized methodology provides a secure sharing of information and resources among various nodes of 5G environments. Blockchain can support other technologies, such as AI-based 5G, to create smarter, more efficient, and secure cellular networks. In this paper, we present a comprehensive intelligence and secure data analytics framework for 5G networks based on the convergence of Blockchain and AI named “Block5GIntell”. We depict the applications of Blockchain and AI on 5G networks separately and we argue on the support that Blockchain can provide for AI to create smart and secure 5G networks relying on our proposed framework. To support our proposition, we present an energy-saving case study using Blockchain for AI-enabled 5G. The simulation shows an overall 20% decrease in energy consumption at the RAN level.
Article
Full-text available
Agriculture is a vital area for the sustenance of mankind engulfing manufacturing, security, traceability, and sustainable resource management. With the resources receding expeditiously, it is of utmost significance to innovate techniques that help in the subsistence of agriculture. The growth of Internet of Things (IoT) and Blockchain technology as two rapidly emerging fields can ameliorate the state of food chain today. This paper provides a rigorous literature review to inspect the state-of-the-art development of the schemes that provide information security using blockchain technology. After identifying the core requirements in smart agriculture, a generalized blockchain-based security architecture has been proposed. A detailed cost analysis has been conducted on the studied schemes. A meticulous comparative analysis uncovered the drawbacks in existing research. Furthermore, detailed analysis of the literature has also revealed the security goals towards which the research has been directed and helped to identify new avenues for future research using artificial intelligence.
Article
Full-text available
Nowadays, applications for the Internet of Things (IoT) have been introduced in different fields of medicine to provide more efficient medical services to the patients. A systematic mapping study was conducted to answer ten research questions with the purposes of identifying and classifying the present medical IoT technological features as well as recognizing the opportunities for future developments. We reviewed how cloud, wearable technologies, wireless communication technologies, messaging protocols, security methods, development boards, microcontrollers, mobile/IoT operating systems, and programming languages have been engaged in medical IoT. Based on specific inclusion/exclusion criteria, 89 papers, published between 2000 and 2018, were screened and selected. It was found that IoT studies, with a publication rise between 2015 and 2018, predominantly dealt with the following IoT features: (a) wearable sensor types of chiefly accelerometer and ECG placed on 16 different body parts, especially the wrist (33%) and the chest (21%) or implanted on the bone; (b) wireless communication technologies of Bluetooth, cellular networks, and Wi-Fi; (c) messaging protocols of mostly MQTT; (d) utilizing cloud for both storing and analyzing data; (e) the security methods of encryption, authentication, watermark, and error control; (f) the microcontrollers belonging to Atmel ATmega and ARM Cortex-M3 families; (g) Android as the commonly used mobile operating system and TinyOS and ContikiOS as the commonly used IoT operating systems; (h) Arduino and Raspberry Pi development boards; and finally (i) MATLAB as the most frequently employed programming language in validation research. The identified gaps/opportunities for future exploration are, namely, employment of fog/edge computing in storage and processing big data, the overlooked efficient features of CoAP messaging protocol, the unnoticed advantages of AVR Xmega and Cortex-M microcontroller families, employment of the programming languages of Python for its significant capabilities in evaluation and validation research, development of the applications being supported by the mobile/IoT operating systems in order to provide connection possibility among all IoT devices in medicine, exploiting wireless communication technologies such as BLE, ZigBee, 6LoWPAN, NFC, and 5G to reduce power consumption and costs, and finally uncovering the security methods, usually used in IoT applications, in order to make other applications more trustworthy. 1. Introduction Connected “things” to the Internet have increased exponentially in recent years [1, 2]. The devices can be identified and controlled via a new Internet called IoT. This new Internet integrates physical and virtual world things to improve the quality of human life and provides better services [3–5]. Physical things, such as devices and tools, have abilities of sensing, actuating, and interconnecting while virtual things, such as multimedia content and software applications, can be stored, processed, and accessed [6]. The things can be identified with the EPC (Electronic Product Code) and integrated via the Internet [7]. Today, thanks to widely available technologies such as communication technologies and smart portable devices, IoT has become one of the hottest topics in all areas [8], particularly in healthcare, which is estimated to engage 40% of IoT devices by 2020 [2]. Due to the prevalence of ICT (Information and Communication Technology) in healthcare industry, equal provision of healthcare services for patients has increased widely having enhanced the utilization of healthcare resources [5]. In healthcare, therefore, sensor and communication technologies, integrated by IoT, are attempting to enhance traditional communication with the patients to provide more efficient health services [9]. In most research studies, on the other hand, the use of IoT in the areas such as combining wireless physiological sensors and smart mobile devices in daily activities, health monitoring, locating and tracking health-related things, diagnosis, and collaboration is investigated [10]. In order to increase patient empowerment, IoT is attempting to move healthcare from being centralized to lateralization, i.e., to e-health. There is a trend to shift medical services from centers to homes, especially for the elderly or the disabled, in order to budget time and reduce medical costs [4]. However, the technological features which are commonly used in current medical IoT applications are not evidently clear to all. In other words, the available capabilities or shortages of the features of medical IoT applications have not yet been investigated. It is, therefore, necessary to shed light on the current technological features of IoT in medicine through scrutinizing the relevant medical IoT literature. Such study can illuminate the current advances as well as the gaps and opportunities for future progresses. A need is thus evident for a review study to find out the current technological features of IoT applications in medicine. The present study is, thus, an attempt to systematically map the nature of the IoT technological features used in medical areas through analyzing the related literature. It has been designed to provide an overview of medical IoT research area through producing classifications and counting contributions in relation to the categories found in those classifications [11]. The results of this study can be beneficial for various medical IoT stakeholders, such as researchers intending to carry out primary or secondary studies in medical IoT-related fields, interested postgraduate candidates in medical sciences, and medical IoT developers. Pioneers in the field can also take advantage of the gaps inserted at the end of the current study. 2. Materials and Methods This review study is systematic mapping in nature. A systematic mapping review is usually used to support further research, most commonly the systematic reviews, and is intended to classify the primary research studies in a specific field [12]. In other words, a mapping review study is the starting point for a researcher to conduct a related primary study or a systematic review by shedding light on the pursued knowledge. While a systematic review study, pertinent to ours, would be used to identify, evaluate, and interpret all relevant research [13], the present study, however, has systematically reviewed the relevant papers, published between 2000 and 2018, aiming at identifying and classifying the above-mentioned features in medical IoT applications and specifying knowledge gaps in the field. Figure 1 shows the processes followed in conducting this study.
Chapter
“Cloud” is a commonly used word for multiple developments and possibilities. This is not an idea, but a “practical innovation,” merging many prior innovations into something fresh and convincing. In addition, cloud computing will help companies convert their existing server resources into complex ecosystems, increasing server capacity as necessary. Since “Fog Computing” as an extension of cloud computing, by placing resources to the edge of the network that minimizes latency and network congestion may be a comparatively a recent pattern. Although growing cloud and fog computing offer identical infrastructure and facilities, the latter is distinguished by low latency, with larger distribution and globally dispersed nodes to support contact with quality and time. In the near future, and with very fast network bandwidth as they call it 5G cloud computing and fog computing going to run the world and become more important and secure them is highly important too. People will no longer use PlayStation and X-box as devices but play digitally via cloud storage. Many self-drive cares often focus on cloud and fog computing to collect and communicate with the world through telecommunication.
Article
With the fast-growing demands for efficient and scalable content distribution, information-centric networking (ICN) can be a promising candidate for future networks. ICN promises direct retrieval of the content using its unique, persistent, and location-independent name. In ICN, all nodes work together to scale up content delivery, but security issues caused by malicious behaviors of ICN nodes cannot be avoided. To this end, in this article we develop a trust-enhanced blockchain based ICN (BICN) architecture for content delivery. In our proposed architecture, the whole process of content delivery is first traced in an implicitly trusted way by exploiting the excellent properties of the blockchain, so that the malicious ICN nodes can be located. Second, we leverage transactions to record the mapping between human-readable name and self-certifying name in BICN, which supports convenient and trusted alteration for users' requirements. Moreover, we present a case study in BICN based smart grid for energy data delivery, where we perform security analysis and conduct experiments. Numerical results show the superior performance of our proposal. Finally, we present open issues for future work.
Article
The adoption of technologies by the operations and supply chain management (OSCM) field is leading to extraordinary disruptions. And with the rapid emergence of cutting-edge and more disruptive technologies, the OSCM is striving to take advantage of such innovations, but they are bringing in their wake a number of challenges. One of those disruptive technologies is blockchain, which is increasingly accepted in virtually all industries. This study aims to investigate the blockchain technology (BCT) adoption behaviour and possible barriers in the Brazilian OSCM context. We developed a model drawing on the unified theory of acceptance and use of technology (UTAUT) model, the supply chain literature, and the emerging literature on BCT. We empirically validated the proposed model with Brazilian operations and supply chain professionals by using the partial least squares structural equation modelling (PLS-SEM). Our findings revealed that facilitating conditions, trust, social influence, and effort expectancy are the most critical constructs that directly affect BCT adoption. Unexpectedly, performance expectancy appeared not decisive in terms of predicting BCT adoption. This study contributes to advancing and stimulating the theory about BCT adoption behaviour in supply chains, as well as important managerial implications, which may be more critical for emerging economies.