Conference PaperPDF Available

An IoT based Framework for Smart City Services

Authors:

Abstract and Figures

Smart city is an emerging concept that aims to improve the quality of city life, to enhance the efficiency of urban operations and services as well as to create a sustainable economic growth of the city. Internet-of-Things (IoT) and big data have emerged as key enabling technologies for smart city services infrastructure. A major issue in the design of smart city services is the provision of Internet connectivity anywhere within the cities through some suitable network infrastructure. Although the use cases for various smart city services and business models for delivering smart city services have been proposed in the literature over the past few years, none of them attempts to address the problem of dealing with heterogeneous technologies required for collecting and processing data to offer such services. Thus, this paper proposes a suitable framework for smart city services based on IoT to address the above-mentioned issues.
Content may be subject to copyright.
An IoT based Framework for Smart City Services
Pampa Sadhukhan
School of Mobile Computing & Communication
Jadavpur University
Kolkata, India - 700032
Email: pampa.sadhukhan@ieee.org
Abstract—Smart city is an emerging concept that aims to
improve the quality of city life, to enhance the efficiency of
urban operations and services as well as to create a sustainable
economic growth of the city. Internet-of-Things (IoT) and big
data have emerged as key enabling technologies for smart city
services infrastructure. A major issue in the design of smart city
services is the provision of Internet connectivity anywhere within
the cities through some suitable network infrastructure. Although
the use cases for various smart city services and business models
for delivering smart city services have been proposed in the
literature over the past few years, none of them attempts to
address the problem of dealing with heterogeneous technologies
required for collecting and processing data to offer such services.
Thus, this paper proposes a suitable framework for smart city
services based on IoT to address the above-mentioned issues.
Index Terms—Internet-of-Things (IoT), smart city, services,
middleware, Internet.
I. INTRODUCTION
The growing urge of the people to live in an urban envi-
ronment has significantly increased the city population, which
in turn demands for development of smart cities to improve
the quality of the city life as well as to enhance the efficiency
of urban operations and services by using information and
communication technologies (ICT) and other means. On the
other hand, the aim of a smart sustainable city should be not
only improving the quality of city life, but also to fulfill the
requirements of present and future generations with respect
to economic, social and environmental aspects [1]. A formal
and well understood definition of a smart city should be; it is
the seamless integration of various electronic equipments as
well as communication paradigms into a strategic way for the
well-being of the citizens as well as to create a sustainable
economic growth of the city. According to researchers in [2]
different components of smart cities are smart infrastructure,
smart transportation, smart environment and energy, smart
health care, smart governance and education etc.
Although the potential market of the smart city is predicted
to reach at hundreds of billions dollars by 2020 [3], there
are some obstacles to its realization from political, financial
and technical perspectives [4]. The major political barrier
to making a city smarter is the involvement of different
stakeholders into the decision-making process that focuses on
the strategic planning and management aspects of the smart
cities. A possible way out to remove this political barrier is
to assign this entire decision-making and execution power to
make the city smarter to a single dedicated department of
the city [4]. On the other hand, the major technical issue to
the design and implementation of a smart city is the non-
interoperability of the various technologies that are used to
offer services in urban and metropolitan areas. The Internet
of Things (IoT) can be used as building block to design a
unified urban-scale ICT platform that can easily address the
above-mentioned technical issue [17]. Finally, the lack of an
economically feasible business model is the primary obstacle
to the taking off of the smart city project from the financial
perspective. Moreover, the adverse global economic condition
has a negative impact on the potentially large smart city
market. These financial barriers can be removed by developing
some services that utilize the public resources with very clear
return on investment, such as intelligent transportation system
(ITS) [5], and intelligent parking system [6] and so on.
Another major challenge in provisioning of smart city
services throughout the whole city is the availability of Internet
connectivity anywhere within the city through some suitable
network infrastructure. Although the use cases for some smart
city services [7, 8, 9] as well as various platforms and business
models [4, 10, 11, 12, 16] for delivering smart city services
have been proposed over the past few years, none of them
provides a solution for integrating heterogeneous technologies
required for collecting data and monitoring purposes in order
to offer various utility services in the domain of transport, en-
vironment, health and education etc. Thus, this paper proposes
an IoT based framework for smart city services that include
the design of a suitable network infrastructure to provide high
bandwidth Internet connectivity anywhere within the city as
well as the design of an integrated platform incorporating
heterogeneous technologies to offer various utility services to
the citizens.
This paper is structured as follows. Section 2 provides a
literature review on existing use cases of various smart city
services as well as various smart city platforms proposed
over the past few years. Section 3 presents the proposed
framework for smart city services and finally Section 4 draws
the conclusion.
II. RELATED WORK
The researchers in [2] have provided a broad overview
of smart cities, stated the vast scope of research in the
domain of smart cities along with the detailed description
of various components of smart cities. The authors in [2]
have also highlighted various challenges and described the
409
978-1-5386-2459-3$31.00 c
2018 IEEE
role of two emerging technologies IoT and big data in design
of smart city services. In [4], the researchers have pointed
out the major obstacles on the way of smart city market and
henceforth have proposed a procedure to bootstrap the smart
city business based on the concept of big data exploitation.
The proposed approach in [4] defines three stages to facilitate
sustainable smart city development. The first stage advocates
the deployment of various technologies and services that
would offer various smart city services with appropriate return
on investment. In the second and third stage, the system would
be made self-sustainable by developing services on top of
the existing smart city infrastructure. Several pilot projects
on smart cities have been initiated by the present European
Commission Programme FP7-ICT and CIP ICT-PSP. Among
these projects, Smart Santander project [7] aims to design
and implement some use cases such as bus tracking and air
quality (EKOBUS) as well as urban waste management by
considering a large testbed of sensor nodes. The ELLIOT
project [8] (Experimental Living Lab for Internet of Things)
launched by FP7-ICT programme in 2010 targets to design
several use cases for smart city services by using IoT. The
first use case aims to design some green services for air
quality and ambient noise pollution monitoring; the second
one targets to design some well being services for public
hospitals and the third one considers the logistic services in
order to facilitate product development by the professional
users. The objective of Peripheria project [9] initiated by the
European Commission ICT policy support programme is to
develop smart cities infrastructure and services for real life
urban environment in Europe.
On the other hand, several platforms as well as business
models for delivering smart city services have been proposed
in literature over the past few years. Among these, the smart
city platform proposed in [10] can successfully evaluate the
business model of new services offered by cities, whereas
those in [11, 12] can provide heterogeneous services to support
a variety of application domains. A coherent self-sustainable
business model for smart city services has been proposed in
[13]. Several new start-ups that provide innovative services
and deliver new applications and solutions for different smart
city areas have been proposed in [14, 15]. The researchers
in [16] aims to develop an environment that would help to
create the prototype of various smart City applications in
the domains of energy, health, education, etc. that would be
deployed over. In [16], the researchers have also presented
the functional architecture of a machine-to-machine (M2M)
middleware platform based distributed test bed over which
various smart city applications can be deployed. A multilevel
architecture for the smart city platform based on wireless
sensor networks and semantic web technologies has been
proposed in [18]. The prototype of an IoT based E-parking
system that addresses the problem of real-time detection of
improper parking by applying image processing technique and
automatic collection of parking charges, has been presented
in [22]. The proposed E-parking system [22] also provides
city wide parking management solution via a central server
Fig. 1. Architecture of proposed network model for smart cities
and enables the drivers to reserve some free parking lot via
android-based client application running at their smart phone.
III. PROPOSED FRAMEWORK FOR SMART CITY SERVICES
This section, at first, presents the design of a suitable
network infrastructure that ensures availability of Internet
anywhere within the city, then shows the use of the proposed
network model in invocation of various smart city services
from the portable devices and lastly provides the detailed
design of the proposed integrated platform that deals with het-
erogeneous technologies to offer various smart city services.
A. Design of Network Infrastructure Proposed for Smart City
Services
The first issue to focus on for making cities smarter is
ensuring the availability of high speed Internet connectivity
anywhere within the city. The deployment of broadband net-
work infrastructure combining cable, optical fiber and wireless
networks throughout the city can ensure the provision of high
bandwidth Internet anywhere within the city. The architecture
of the network infrastructure proposed for smart cities is shown
in fig. 1. The use of already deployed broadband network
infrastructure including cellular networks available within the
city as well as the deployment of low-cost Wi-Fi APs through-
out the city to provide Internet anywhere make the proposed
network model cost-effective. Two major important issues in
the development of some smart city services are collecting data
from the surrounding environment and sending notifications
of certain events to the environment. The proposed network
model addresses the above-mentioned issues by deploying IoT
410 International Conference on Communication, Computing and Internet of Things (IC3IoT)
Fig. 2. Use of proposed network infrastructure in development and invocation
of smart city services
based networks comprising sensor nodes, actuators, RFID tags,
and smart devices etc., which can be utilized for both data
collection and passing notifications required to design various
smart city services in the domain of transport, infrastructure,
environment and health. The proposed network infrastructure
comprises the following components.
Wide Area Network (WAN) [19]: It is the backbone of
proposed network infrastructure. This network comprises
the main communication infrastructure of a city and is
used to provide Internet connectivity throughout the city.
IoT Network: It is a network of various IoT nodes, which
is used as a backbone network for data collection and
monitoring purposes.
IoT Nodes: IoT nodes include sensor nodes, actuators,
RFID tags and various kinds of mobile devices such as
such as smart phones, tablet or PDA.
Sensor Cloud: The efficient management of large amount
of data gathered by wireless sensor networks (WSNs) is
a major challenge due to restricted capabilities of sensor
nodes in terms of memory, energy, computation and
scalability. A Sensor cloud [20] can provide a promising
solution to the above mentioned problem by combining a
powerful and scalable massive storage infrastructure with
the sensor networks for real-time processing and storing
the WSN data as well as their analyzes.
Gateway (GW): It is used to interconnect the end devices
to the main communication infrastructure of the city. The
gateways are responsible for protocol translation as well
as for doing the functional mapping between the uncon-
strained protocols such as XML, HTTP and IPv4/IPv6
etc. used by host devices directly connected to Internet
and their corresponding constrained counterparts, e. g.
efficient XML interchange (EXI), constrained application
protocol (CoAP) and 6LoWPAN associated with the
IoT peripheral nodes to ensure both way communication
between the IoT nodes and the host devices.
WSN Gateway (WSN GW): Similar to other gateways,
this gateway is used for two-way communication between
the sensor nodes within the WSN and the main commu-
Fig. 3. Outline of proposed integrated platform for providing various smart
city services
nication infrastructure of the city network, i.e, WAN.
Wi-Fi access points (APs): Sufficient numbers of Wi-Fi
APs are deployed at every bus stop, park and other public
places like airport, railway stations and parking area
to ensure availability of Internet connectivity anywhere
within the city.
Control Server: Some control servers are deployed
within the proposed city network infrastructure to store
the huge collection of data in its internal database. Those
data are processed and analyzed to generate various
value-added services. Thus, the control servers are very
important components of the smart city network infras-
tructure to deliver various smart city services.
B. Use of Proposed Network Model in Development and
Invocation of Smart City Services
Various smart city services in the domain of transportation,
infrastructure, environment, health and education etc. will be
developed using web services [21] and deployed on to the
control server as shown in fig. 2. IoT networks are utilized for
data collection and sending notification to the environment if
needed by some smart service. On the other hand, suitable
smart client applications are developed and deployed on the
smart portable devices like tablet, PDA or smart phone to
invoke the smart city services as depicted in fig. 2.
C. Design of an integrated platform to offer various smart
services
The proposed integrated platform to offer various smart
city services consists of three layers. These are IoT network
International Conference on Communication, Computing and Internet of Things (IC3IoT) 411
infrastructure layer, the middleware layer and the application
layer. The novelty of this proposed platform lies in its ability
to collect data in different formats from heterogeneous IoT
peripheral nodes over the various communication technologies.
A schematic diagram of the integrated platform proposed for
providing various smart city services is shown in fig. 3 and
its constituent layers are described below.
IoT Network Infrastructure: It is the lowest layer of
proposed integrated platform. It comprises various kinds
of IoT networks which are consisting of heterogeneous
types of IoT peripheral nodes such as sensor nodes,
actuators, RFID tags, smart devices and so on. This layer
is responsible for data collection, environment monitoring
and sending notifications or alerts to the user via IoT
nodes.
Middleware: This layer is introduced into the pro-
posed smart city platform to deal with heterogeneous
technologies and to provide suitable interfaces for the
creation, management and discovery of various services,
subscription to services etc. The middleware is respon-
sible for managing the underlying heterogeneous kinds
of IoT networks via some network management API and
uses some data API to collect data in different formats
from those underlying IoT networks. Filtering or pre-
processing of data collected from various IoT nodes is
done by the middleware before passing them onto the
application layer. It also provides some security feature
to enable the invocation of different smart services in a
secured environment.
Application Layer: This layer comprises various smart
city services, smart client applications to invoke the
services as well as scalable database systems required
to store necessary data for the smart city services. Vari-
ous smart city services in the domain of transportation,
infrastructure, environment, health and education will be
developed using web services.
IV. CONCLUDING REMARKS
This paper presents an IoT based framework for smart
city services to enable the development of various smart
city services in the domain of transport, environment, edu-
cation and health etc, invocation of such services via portable
devices along with availability of high bandwidth Internet
anywhere within the city. The proposed framework for smart
city services includes the design of an IoT based network
infrastructure as well as the design of middleware based smart
city platform. The proposed network model is cost-effective as
it uses the already deployed broadband network infrastructure
and also employs low-cost Wi-Fi APs throughout the city
to ensure the availability of Internet anywhere within the
city. On the other hand, the middleware based smart city
platform presented in this paper deals with heterogeneous
technologies and provides several features to ensure creation
and deployment of services and their invocation in secured
environment.
ACKNOWLEDGMENTS
The authors gratefully acknowledge the facilities and sup-
port provided by the Director and all other staff members
of the School of Mobile Computing and Communication,
Jadavpur University, a Centre of Excellence set up under
the University with potential for Excellence Scheme of the
UGC.
REFERENCES
[1] ITU-T Focus Group on Smart Sustainable Cities,  Smart sustainable
cities: An analysis of definitions, Focus Group Technical Report,
Geneva, Switzerland, Tech. Rep. FG-SSC-10/2014, 2014.
[2] S. P. Mohanty, U. Choppali and E. Kougiannos,  Everything You
Wanted to Know About Smart Cities, IEEE Consumer Electronics
Magazine, DOI: 10.1109/MCE.2016.2556879, August 2016.
[3] Pike Research on Smart Cities [dedicates entire sec-
tion to Worldsensing], 2011. [Online]. Available:
http://www.pikeresearch.com/research/smart-cities.
[4] I. Vilajosana, J. Llosa, B. Martinez, M. Domingo-Prieto, A. Angles, and
X. Vilajosana,Bootstrapping Smart Cities through a Self-Sustainable
Model Based on Big Data Flows, IEEE Commun. Mag., vol. 51, no.
6, pp. 128134, June 2013.
[5] Fei-Yue Wang, Parallel Control and Management for Intelligent Trans-
portation Systems: Concepts, Architectures, and Applications, IEEE
Transactions on Intelligent Transportation Systems, vol. 11, no. 3,
September 2010.
[6] Faheem, S.A. Mahmud, G.M. Khan, M. Rahman and H. Zafar, A
Survey of Intelligent Car Parking System, Journal of Applied Research
and Technology, Vol. 11, October 2013, pp. 714-726.
[7] Smart Santander (FP7-ICT, 2010), www.smartsantander.eu
[8] ELLIOT (FP7-ICT, 2010). http://www.elliot-project.eu/
[9] Periphria (CIP ICT-PSP, 2010), www.peripheria.eu.
[10] N. Walravens and P. Ballon,  Platform Business Modelsfor Smart Cities:
From Control and Value to Governanceand Public Value, Feature Topic
on Smart Cities,IEEE Communicatio. Magazine, June 2013.
[11] P. Fritz, M. Kehoe and J. Kwan, IBM Smarter
CitySolutions on Cloud, White Paper, 2012, http://www-
01.ibm.com/software/industry/smartercities-on-cloud.
[12] J. Hogan et al.,  Using Standards to Enable the Transformationto
Smarter Cities, IBM J. Research and Development,vol. 55, no. 1.2,
Jan.Mar. 2011, pp. 4:14:10.
[13] M. Dohleret al.,  Smart Cities: An Action Plan, Barcelona Smart Cities
Congress 2011, Barcelona,Spain, Nov.Dec. 2011.
[14] Worldsensing, Smart City Solutions Startup, companyweb page,
2008, http://www.worldsensing.com.
[15] BitCarrier Co.,  Smart City Solutions Startup, companyweb page,
2006, http://www.bitcarrier.com.
[16] N. Mukudu et al.,  Prototyping Smart City Applications over Large
Scale M2M Testbed, In Proceedings of IST-Africa Conference, ISBN:
978-1-905824-55-7, pp. 1-11.
[17] A. Zanella et al.,  Internet of Things for Smart Cities, IEEE Internet
of Things Journal, vol. 1, no. 1, February 2014, pp. 2232.
[18] A. Gaur et al.,  Smart City Architecture and its Applications Based
on IoT, Elsevier Procedia Computer Science, Volume 52, 2015, pp.
1089-1094.
[19] Patrick Regan, Wide Area Networks, Prentice Hall; 1 edition (July 24,
2003), ISBN-13: 978-0130465788.
[20] A. Alamri et al.,  A Survey on Sensor-Cloud: Architecture, Appli-
cations, and Approaches, International Journal of Distributed Sensor
Networks Volume 2013 (2013), Article ID 917923, pp. 1-18.
[21] M. Chen, Andrew N. K. Chen and Benjamin B. M. Shao, The
Implications and Impacts of Web Services to E-Commerce Research and
Practices, Journal of Electronic Commerce Research, VOL. 4, NO. 4,
2003, pp. 128-139.
[22] P. Sadhukhan, An IoT-based E-parking system for smart cities,
2017 International Conference on Advances in Computing, Commu-
nications and Informatics (ICACCI), Udupi, 2017, pp. 1062-1066, doi:
10.1109/ICACCI.2017.8125982.
412 International Conference on Communication, Computing and Internet of Things (IC3IoT)
... For instance, building developers leverage IoT sensors and actuators to construct intelligent buildings that enhance user convenience [7,8] and ensure maximum customer satisfaction and cost optimization while continuously striving to provide superior services to their clientele [9][10][11]. Meanwhile, the introduction of the IoT is crucial for enhancing operational efficiency [12,13]. IoT is assisting building companies in streamlining their processes to minimize waste and save costs [14]. ...
Article
Full-text available
Nowadays, the rise of Internet of Things (IoT) devices is driving technological upgrades and transformations in the construction industry, the integration of IoT devices in buildings is crucial for both the buildings themselves and the intelligent cities. However, large-scale IoT devices increase energy consumption and bring higher operating costs to buildings. Therefore, harvesting the ambient cost-effective and clean energy sources is essential for the future development of intelligent buildings. In this work, we investigate the feasibility of integrating a typical triboelectric droplet energy harvester (DEH) into buildings. We demonstrate the energy harvesting capabilities of DEH on different sloped roof surfaces and complex curved building surfaces by simulating rainy weather with various rainfall intensities. The results indicate energy harvesting efficiency increases with larger tilt angles, which guides future smart architectural designs. This work is significant for the future integration of diversified, all-weather green energy collection and management systems, including raindrop energy, wind power generation, and solar energy, which will contribute to energy conservation and cost control in the next generation of smart buildings.
... Inhabitants receive certificates or access tokens upon verification, and credentials managers play a pivotal role in verifying both the legitimacy of credentials and services. This prevents the consumption of malicious or forged services, adding an extra layer of security and privacy in the scenario described, where the Pesh council maintains attribute-based credentials [21] . Credentials managers enhance security and privacy measures by rigorously verifying both inhabitants and services provided by Tanvin. ...
Article
Full-text available
p>Cities are evolving into smart urban environments, where various devices, technologies, services, connections, blocks, and storage systems are transforming to embrace smart solutions, departing from traditional counterparts. This intricate network of interconnected devices collectively constitutes the Internet of Things (IoT), promising users a life of enhanced convenience. However, this transformation also introduces challenges, particularly in managing loosely linked devices and transmitting information across networks. This study conducts a comprehensive review of the various components contributing to the formation of a smart city, scrutinizing the challenges and factors that influence them. The overarching objective is to identify specific areas within smart cities grappling with cybersecurity challenges and ascertain the relative significance of each area. Data for this research is gathered through questionnaires, expert opinions, and paired comparisons drawn from previous studies, and employs the Fuzzy Analytic Hierarchy Process approach to determine the weight of each factor and sub-factor, subsequently ranking them. Among the nine identified factors, the "Smart Security" factor is the most critical, with a weight of 0.198, signifying its paramount importance. To overcome the security challenges in smart cities, we introduce an advanced secure framework (ARPL) for detecting security threats, using the Routing Protocol for Low Power and Lossy Networks (RPL) as its foundation. The advanced framework is adept at identifying a variety of attacks. Performance assessments of the proposed framework encompass several key parameters, such as ADA, TPR, FPR, and end-to-end delay. The positive outcomes observed strongly endorse the effectiveness of the proposed framework, positioning it as an optimal solution for RPL-based smart environments.</p
... In [9] a smart city framework based on IoT has been presented. The authors proposed a network infrastructure for smart cities, and they suggested an integrated platform to handle many heterogeneous technologies in different smart city parts. ...
... The Internet of Things (IoT) is a recent communication prototype that shows in the future, in this, the devices or any gadgets that are used in daily life will be attired with microcontrollers, mobile communication transmitters, and appropriate protocols that will construct possible interconnection with other devices and with users will undoubtedly become an important part of the new age of the Internet. What is practically imagined with the IoT [1][2] is to make the internet more penetrating in terms of its use with objects not currently related to the network. In the current cities and their environment today, the existence of many deficiencies (pollution, fire accidents, industrial accidents) can be seen, which can be reduced with the use of technology, in this case with the implementation of this paradigm, that of IoT, it is possible to make spaces of the city to become aware, to integrate these spaces in the way their citizens relate to it. ...
... As time progresses, an increasing number of scientists are concentrating their efforts on making cities smarter. When it comes to smart cities, there are many devices, which is why a framework for the IoT has been established to manage them all [107]. Researchers in smart cities have concentrated their efforts on three key areas: security, connectivity, and decentralization [108]. ...
Article
Full-text available
Smart cities are a current worldwide topic requiring much scientific investigation. This research instigates the necessity of an organized review to a heedful insight of the research trends and patterns prevailing in this domain. The string is formulated to extract the corpus from Scopus largest database of publications. The corpus of 8320 articles published from 2010 to 2022 is processed using Latent Dirichlet Allocation. Two, five, and ten topics have been extracted to provide the recent trends for IoT in smart cities. There has been an increased recognition that more attention needs to be paid to the area of smart cities so a complete overview of the topic of smart cities research, including the most prominent nations (institutions, sources, and authors) and noteworthy research directions has been presented in this paper. The scientific collaboration across countries (regions), organizations, and authors has also been widely discussed. A detailed and comprehensive overview and visualization of the trends and research patterns used to integrate the Internet of Things in Smart Cities. This data based experimental study signifies a roadmap of the research trends in Smart Cities by implementing topic modeling technique that has never been used in this domain. Based upon the topic modeling using LDA, authors have formulated three research questions and answered those question based on the in-depth research. At the end this study concludes the areas suggested are at the growing phase and need more insight for their growth.
... The recent research is focused on creating a development framework, which can help in the growth and deployment of smart city services. The paper has also presented Agent-Based Modelling (ABM) for simulation of argument data retrieval system, and it has used many tools to test the framework as shown in [3]. ...
Article
Full-text available
The concept of integrating information, communication, and some physical devices and being connected to a network to support the city operations and services efficiently is a part of building a smart city. In this research, IoT devices and GIS are utilized to predict the status of roads based on time to avoid traffic congestion. The GIS and IoT sensors are utilized to collect the required data to run the proposed research to control traffic lights. The info of each light is saved in a predefined list and equipped with three lights: red, orange, and green. These colours are used to indicate the status of the road in front of the drivers. The proposed method introduces a novel algorithm to avoid the traffic using GIS and IoT devices to avoid traffic congestion.
Chapter
Digital finance can provide vulnerable communities in developed nations with accessible, easy, and safe banking services [1]. Almost 50% of people in the developing world already own mobile phones. “Digital finance can contribute to financial inclusion, the extension of banking services to the non-banking sectors, and the expansion of basic services to individuals” [2]. Customers use a variety of smart gadgets to access a variety of services and data all over the world. Banks and other financial service providers have also employed technology to provide users with real-time access to and views of their accounts. The confluence of technology and information has enabled the development of IoT [3–8] in the financial sector. Payments are initiated and processed over IoT objects on the Internet of the payments system [9]. IoT is being used by many fintech companies to collect data and conduct big-scale financial services. Smart features are used by users all around the world for safety, security, and convenience.
Chapter
IoT represents the Internet of Things which is a completely new concept, and there is a lack of scientific understanding of what IoT is and what its programs work on Smart Homes and Smart Cities. Smart Homes and Smart Cities based on IoT are considered one of the most important IoT applications. These days, the popular Smart Home Systems give us many types of applications that make our lives easier and simpler. IoT-based Smart Homes allow us to control and use our home appliances on mobile phones. Smart Home Systems notify the user of anonymous intrusion whenever the door is opened and notify the user immediately via SMS or email. After receiving the notification, the user can take the necessary steps against it. IoT-based Smart Cities enable us to perform various types of activities such as crime prevention and public safety, natural disaster management, environmental management or ecosystem, etc. Smart homes are considered an important part of building Smart Cities. With the advent of a large number of IoT devices in the coming years, privacy breaches and information leaks are likely to increase. This paper describes IoT and its application to Smart Homes and Smart Cities, how to create and use these applications using IoT, the various hardware and software features required for IoT use, the challenges and weaknesses of IoT usage for Smart Homes and Smart Cities, and benefits of using IoT in Smart Homes and Smart Cities. This chapter will examine current and future examples of IoT. And it will show us about how the IoT will interact with our lives in the future.KeywordsInternet of ThingsSmart HomeSecurity and PrivacySmart HomeSmart CitySmart ParkingSmart Security
Conference Paper
Full-text available
The increasing number of vehicles on the road along with the mismanagement of available parking space leads to the parking related problems as well as increased traffic congestion in urban areas. Thus it is highly required to develop an automated smart parking management system that would help the driver to find out some suitable parking space for his/her vehicle very quickly. Although ample amount of research works on the development of smart parking system exist in literature, but most of them have not addressed the problem of real-time detection of improper parking and automatic collection of parking charges. In this paper, a prototype of internet-of-thing based E-parking system is proposed. The proposed E-parking system uses an integrated component called parking meter to address the above-mentioned issues as well as to provide smart parking management throughout the city. Index Terms—smart parking system (SPS), parking lot, parking meter (PM), internet-of-thing (IoT), E-parking.
Article
Full-text available
This article is a single-source introduction to the emerging concept of smart cities. It can be used for familiarizing researchers with the vast scope of research possible in this application domain. The smart city is primarily a concept, and there is still not a clear and consistent definition among practitioners and academia. As a simplistic explanation, a smart city is a place where traditional networks and services are made more flexible, efficient, and sustainable with the use of information, digital, and telecommunication technologies to improve the city's operations for the benefit of its inhabitants. Smart cities are greener, safer, faster, and friendlier. The different components of a smart city include smart infrastructure, smart transportation, smart energy, smart health care, and smart technology. These components are what make the cities smart and efficient. Information and communication technology (ICT) are enabling keys for transforming traditional cities into smart cities. Two closely related emerging technology frameworks, the Internet of Things (IoT) and big data (BD), make smart cities efficient and responsive. The technology has matured enough to allow smart cities to emerge. However, there is much needed in terms of physical infrastructure, a smart city, the digital technologies translate into better public services for inhabitants and better use of resources while reducing environmental impacts. One of the formal definitions of the smart city is the following: a city "connecting the physical infrastructure, the information-technology infrastructure, the social infrastructure, and the business infrastructure to leverage the collective intelligence of the city" [4]. Another formal and comprehensive definition is "a smart sustainable city is an innovative city that uses information and communication technologies (ICTs) and other means to improve quality of life, efficiency of urban operations and services, and competitiveness, while ensuring tha- it meets the needs of present and future generations with respect to economic, social and environmental aspects" [12]. A broad overview of various components needed in a smart city is depicted in Figure 1. Any combination of various smart components can make cities smart. A city need not have all the components to be labeled as smart. The number of smart components depends on the cost and available technology.
Article
Full-text available
Wireless sensor networks have increasingly become contributors of very large amounts of data. The recent deployment of wireless sensor networks in Smart City infrastructures has led to very large amounts of data being generated each day across a variety of domains, with applications including environmental monitoring, healthcare monitoringand transport monitoring. To take advantage of the increasing amounts of data there is a need for new methods and techniques for effective data management and analysis to generate information that can assist in managing the utilization of resources intelligently and dynamically. Through this research,a Multi-Level Smart City architecture is proposed based on semantic web technologies and Dempster-Shafer uncertainty theory. The proposed architecture is described and explained in terms of its functionality and some real-time context-aware scenarios.
Article
Full-text available
The industrialization of the world, increase in population, slow paced city development and mismanagement of the available parking space has resulted in parking related problems. There is a dire need for a secure, intelligent, efficient and reliable system which can be used for searching the unoccupied parking facility, guidance towards the parking facility, negotiation of the parking fee, along with the proper management of the parking facility. Intelligent Parking Service is a part of Intelligent Transportation Systems (ITS). This paper reviews different Intelligent Parking Services used for parking guidance, parking facility management and gives an insight into the economic analysis of such projects. The discussed systems will be able to reduce the problems which are arising due to unavailability of a reliable, efficient and modern parking system, while the economic analysis technique will help in analyzing the projects' feasibility.
Article
Full-text available
We have a clear idea today about the necessity and usefulness of making cities smarter, the potential market size, and trials and tests. However, it seems that business around Smart Cities is having difficulties taking off and is thus running short of projected potentials. This article looks into why this is the case and proposes a procedure to make smart cities happen based on big data exploitation through the API stores concept. To this end, we first review involved stakeholders and the ecosystem at large. We then propose a viable approach to scale business within that ecosystem. We also describe the available ICT technologies and finally exemplify all findings by means of a sustainable smart city application. Over the course of the article, we draw two major observations, which are seen to facilitate sustainable smart city development. First, independent smart city departments (or the equivalent) need to emerge, much like today's well accepted IT departments, which clearly decouple the political element of the improved city servicing from the underlying technologies. Second, a coherent three-phase smart city rollout is vital, where in phase 1 utility and revenues are generated; in phase 2 only-utility service is also supported; and in phase 3, in addition, a fun/leisure dimension is permitted.
Article
Full-text available
The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. In this paper, we focus specifically to an urban IoT system that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at exploiting the most advanced communication technologies to support added-value services for the administration of the city and for the citizens. This paper hence provides a comprehensive survey of the enabling technologies, protocols, and architecture for an urban IoT. Furthermore, the paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.
Article
Full-text available
Nowadays, wireless sensor network (WSN) applications have been used in several important areas, such as healthcare, military, critical infrastructure monitoring, environment monitoring, and manufacturing. However, due to the limitations of WSNs in terms of memory, energy, computation, communication, and scalability, efficient management of the large number of WSNs data in these areas is an important issue to deal with. There is a need for a powerful and scalable high-performance computing and massive storage infrastructure for real-time processing and storing of the WSN data as well as analysis (online and offline) of the processed information under context using inherently complex models to extract events of interest. In this scenario, cloud computing is becoming a promising technology to provide a flexible stack of massive computing, storage, and software services in a scalable and virtualized manner at low cost. Therefore, in recent years, Sensor-Cloud infrastructure is becoming popular that can provide an open, flexible, and reconfigurable platform for several monitoring and controlling applications. In this paper, we present a comprehensive study of representative works on Sensor-Cloud infrastructure, which will provide general readers an overview of the Sensor-Cloud platform including its definition, architecture, and applications. The research challenges, existing solutions, and approaches as well as future research directions are also discussed in this paper
Article
Full-text available
This paper explores how standards will play a critical role in facilitating the creation of smarter cities with systems that are optimized by using a comprehensive information view from pervasive instrumentation. The underlying premise is that the combination of standards, models, and a new suite of design tools and techniques will be needed to address various challenges and make significant progress toward the creation of smarter cities, as defined in this paper. We start by giving examples of where standards have enabled the transformation of large-scale industry systems, such as banking. Drawing from these insights, this paper shows how standards are applicable to the creation, adoption, and management of diverse hierarchies of systems found in cities. In addition, we provide a perspective on key standards currently deployed in cities and areas of development required to address inefficiencies that will help guide the design of new city-wide systems.
Conference Paper
Many cities around the globe are adopting the use of Information and Communication Technology (ICT) as part of a strategy to transform into Smart Cities. These will allow cities in the developing world to cope with the ever increasing demand for services such as an effective electricity supply, healthcare and water management. Machine-to-Machine (M2M) communication standards play a vital role in enabling the development of Smart Cities by supporting new innovative services. Although Smart City services offer an exciting future, many challenges still have to be addressed in order to allow for mainstream adoption. This work focuses on issues related to prototyping Smart City services that utilize standardised M2M middleware platforms. In addition, the use of an inter-continental testbed for Smart City applications as an enabler for innovative, automated and interactive services is presented. The services developed will use an architecture which is based on the Smart City framework developed as part of the Testbeds for Reliable Smart City Machine-to-Machine Communication (TRESCIMO) project. These services will also serve as means to validate the use of Smart services within an African City’s context. In addition, the architecture is validated by taking into account various real world use cases for Smart City applications.
Article
This article presents a theoretical framework for the analysis of platform business models that involve public actors, and city governments in particular, in the value network. It starts from an established business model framework and expands it to include an additional set of parameters required to successfully perform an analysis of the business models of new (mostly digital) services offered by cities. It then applies this framework to several divergent cases from the mobile services sector in which city governments are involved as part of their efforts to become "smarter cities".