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With the passage of time, the world population is growing. Proper utilization of resources and other devices is tremendously playing an important role to easily examine, manage, and control the resources of the Internet of Things (IoT) in the smart city. Research in the field of IoT has revolutionized the services mostly in smart cities. In the sma...
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... The employment today's current technologies is becoming cutting-edge unavoidable as fitness systems face large limitations because state modern an growing older populace, budgetary bottlenecks, and developing mountains latest (analogue and virtual) records. in Given the brilliant improvements in sensor generation, synthetic intelligence, and gadget latest, the destiny modern-day healthcare appears vivid. Huang et al. (2021) using the analytic community method, proposed reading and comparing clever towns for IoT based totally on use cases. They hired the use case device for modern-day towns to focus on the right exploitation modern day sources and different devices so one can higher utilize assets. ...
“Smart city” is a place where cutting-edge technology optimizes resource utilization, progress facilitation, environmental friendliness, and socially inclusive neighborhoods are established. Technology, economics, and social progress were discussed. Since 2000, political actors, business, administration, and urban planning have utilized the notion to define urban technological advancements and developments. The smart city is a planned, technologically advanced "city". In the face of economic, social, and political defeats in many nations after 2000, it uses all digital technology. Air pollution, overcrowding, and urban population growth are the main concerns. Along with technical advancements that make cities more habitable, financial constraints constantly present a challenge. Existing infrastructural inefficiency. Machine learning technology is essential to the IoT because it manages large amounts of data. This paper will explain how healthcare uses AI with IoT and WSN. This research underpins smart city Internet of Things duties and examines the IoT's impact on health facilities.
... For Smart Cities, Billions of devices are connected to IoT, inviting security and confidentiality threats. Huang et al advocated the application of the ANP method in the analysis of cyber security risks for smart cities [17]. The study by Kim -Dong, examines the IoT security requirement model, with the help of the ANP method [19]. ...
Since the advent of the Internet and digital technology, every organization uses digital tools to conduct its daily business. Finding new threats and vulnerabilities and calculating their influence on an organization's operations are the key goals of cybersecurity. To have strong cybersecurity in place, it is important to have some kind of mechanism to measure it. Metrics are used to measure something that has no direct method/instrument to measure. Cybersecurity metrics refer to the quantitative and qualitative measurements used to assess the effectiveness, efficiency, and overall health of an organization's cybersecurity efforts. By leveraging multi-criteria decision-making (MCDM) techniques in cybersecurity, organizations can improve their decision-making processes, optimize resource allocation, and enhance their overall cybersecurity posture to better defend against evolving cyber threats. Therefore, the purpose of this study is to model cybersecurity metrics evaluation by developing a decision network using analytical network process (ANP). The identification of various criteria is very important. Security metrics are organized into five primary classes divided down into 15 sub-classes, and these 15 sub-classes are further subdivided into 29 sub-classes.
... These technical elements represent an important component which residents can use when searching for publicly available information via mobile devices in real-time. As IoT applications are mostly used without human involvement, different IoT devices are interconnected and communicate with each other for different tasks in the Smart City concept [40]. However, many municipalities, cities and counties currently do not have sufficient funds for upgrading and developing innovative technologies. ...
The concept of Smart Cities integrates innovative technologies to improve citizens’ quality of life in towns and cities worldwide. Crisis management is a separate section directly managed by the leadership of municipalities, cities and counties in cooperation between police, fire and municipal police to ensure the safety of residents and safety in public spaces. The purpose of this study is to investigate to which extent publicly available information related to the field of crisis management is unavailable to residents in municipalities, towns and cities through online information systems. The primary aim is to provide suggestions for a general information system structure and content that would highlight and satisfy the need to address the crisis management issue, especially in providing immediate information to the population through an innovative online form. The achievement of this goal is methodologically based on qualitative research analysing and comparing the information published for residents through Smart City information systems in selected towns and municipalities. Document analysis or conceptual design was applied, and evaluation criteria for objective assessment of Smart City information systems were appropriately determined. The comparative analysis based on this set of criteria enabled the development of the proposals of information systems’ content that can be used to keep the information systems for Smart Cities in cities, municipalities and regions, actual and beneficial. From the available resources, two main modules that focused either on citizens or cities were synthesised. Moreover, SWOT analysis or the Smart Regions Rapid Response structure was derived. Acquired results outline generic structures and contents that support the development of the concept of Smart Cities and can be suitably implemented for the development of the modification of information systems containing relevant information for residents, cities and municipalities, focusing on citizen safety.
... At last, the multi-classification using two stage deep learning algorithm was applied to categorize the IoT devices in two distinct datasets. Their proposed model achieves 99.9% of accuracy on the first dataset and 899.8% of accuracy on 2 nd dataset for classifying the IoT devices in smart city environment [10]. have presented the IoT use cases for analysis and evaluation of smart city using analytic network process (ANP). ...
... The concept of the "Smart City" continues to be recognized as one of the IoT's implementations with the most potential and public visibility [27]. The concept of "smart cities" has gained momentum with the advancement of technologies, enabling cities to be efficiently managed using IoT and various devices for enhanced urban management [10]. IoT technology plays a vital role in establishing smart cities by enabling intelligent management through the use of information and communication technologies. ...
The Internet of Things (IoT) is rapidly becoming one of the most talked-about and essential components of any digitization process. The IoT is comprised of several key necessary components, the most important of which are sensors, communication (the internet), and user interfaces for data processing. IoTs are currently finding applications in virtually every industry, including healthcare, where they are known as the internet of medical things (IoMT), industry, where they are known as the industrial internet of things (IIoT), and interconnection between people, where they are known as the internet of everything (IoE). The challenge is to leverage the Internet of Things (IoT), technology, and data to create smarter and more sustainable cities that enhance the quality of life for residents. Therefore, in this article; we have demonstrated the use of the IoT in a variety of applications for smart communities. These applications include smart transportation, smart water management, smart garbage management, smart house illumination, smart parking, smart infrastructure, etc. This research also includes an explanation of the flow process of implementing the IoT in different applications of smart communities, as well as their characteristics and particular applications. Along with their flow illustration, the stages involved in the implementation of smart city applications and the components they consist of are also displayed here. We have also taken into consideration the instances of particular cases and their implementation utilizing IoT. Some of these cases include the automated water collection methods of smart water management systems as well as the condition of the water. Based on the findings of the research, we came to the conclusion that IoT devices play an essential role in each and every one of the smart city project implementations.
... Constructing a completely working Internet of Things foundation, A thorough investigation into the issues and roadblocks in security and privacy is highly recommended. [21] D. CBIR in Machine Learning Internet and WWW produce a vast amount of digital data every second, including photos, movies, and audio. ...
... Smart transportation, smart healthcare, and other 5G-IoT applications are analyzed, and criteria for acceptable performance and KPIs are presented. [20] O. Analyzing and Evaluating, Smart Cities for IoT Based on Use Cases Using the Analytic Network Process [21] e-city IoT has transformed basic services. Smart cities automate IoT. ...
... Experiments suggest that using use cases to evaluate smart cities for IoT is successful. [21] III. RESERCH GAP Agriculture-related CBIR research gaps: I've observed many. ...
... Internet of Things (IoT) is a platform of smart sensors and computing devices interconnected through Wireless Sensor Networks (WSNs) [1,2,3]. IoT is decisive for Smart Cities, because it provides a mechanism to acquire process and communicate information inclusively and expeditiously among multiple computing and sensing devices. ...
... Specific-purpose IoT devices are fabricated with key characteristics, including sensing ability, connectivity, and exchange of data. These devices have been successfully incorporated rapidly into various aspects of everyday life, ranging from home automation to health-fitness services [13], [14] , due to the remote sensing, controlling, and monitoring capability of these IoT devices over the networks. Different types of IoT network architectures [15], [16] are available. ...
Modernization and technological advancement have made smart and convenient living environments, including smart houses and smart cities, possible, by combining the Internet of Things (IoT), data, and internet-based services over various communication protocols. IoT is the next generation of the Internet. However, commonly resource-constraint IoT devices that are designed to perform a specific purpose, impose new security challenges, including node forgery, unauthorized access of data, and denial of services. They are more susceptible to being compromised by adversaries as opposed to general-purpose computing devices, and are exposed to different kinds of attacks, including spoofing and botnet attacks. Device identification is one of the promising approaches for improving network security. Devices can be identified either using explicit identifiers (internet protocol/media access control addresses) or implicit identifiers (network traffic and radio signal features), with implicit identifiers being more reliable, robust, and secure for device fingerprinting (DFP). In this paper, DFP methods have been studied in detail, with features generated from their communication traffic characteristics, including network traffic traces, IEEE 802.11 MAC frames, and radio signals, discussed. Additionally, key limitations and research challenges have been studied in the context of the IoT paradigm. Research challenges within the context of DFP and the future of IoT technologies are also discussed to shape future directions of work in the area. The key contribution of this study is the identification of different DFP research scopes in the domain of the IoT paradigm, which can be designed and implemented toward the development of IoT network security.
... To improve transportation management, Dai and Ma [39] optimized the traffic in smart cities by analyzing different road traffic problems. Huang and Nazir [40] presented the method of analytic network process for evaluating smart cities. Hossain et al. [41] considered the concept of edge computing in IoT for minimizing the latency of edge devices that generate data for cloud transfer and proved that the processing of these huge data can greatly increase the performance indicators of smart cities. Bellini et al. [42] provided a survey on IoT-enabled smart cities, as well as a review of the main smart city approaches and frameworks to highlight the main trends and open challenges of adopting IoT technologies for the development of sustainable and efficient smart cities. According on multicriteria decision making and based on total interpretative structure model and existing literature, Sharma et al. [43] found 15 performances indicators that blocked the implementation of IoT in smart cities in India. ...
Transport activities and citizen mobility have a deep impact on enlarged smart cities. By analyzing Big Data streams generated through Internet of Things (IoT) devices, this paper aims to show the efficiency of using IoT analytics, as an agile optimization input for solving real-time problems in smart cities. IoT analytics has become the main core of large-scale Internet applications, however, its utilization in optimization approaches for real-time configuration and dynamic conditions of a smart city has been less discussed. The challenging research topic is how to reach real-time IoT analytics for use in optimization approaches. In this paper, we consider integrating IoT analytics into agile optimization problems. A realistic waste collection problem is modeled as a dynamic team orienteering problem with mandatory visits. Open data repositories from smart cities are used for extracting the IoT analytics to achieve maximum advantage under the city environment condition. Our developed methodology allows us to process real-time information gathered from IoT systems in order to optimize the vehicle routing decision under dynamic changes of the traffic environments. A series of computational experiments is provided in order to illustrate our approach and discuss its effectiveness. In these experiments, a traditional static approach is compared against a dynamic one. In the former, the solution is calculated only once at the beginning, while in the latter, the solution is re-calculated periodically as new data are obtained. The results of the experiments clearly show that our proposed dynamic approach outperforms the static one in terms of rewards.
... However, they do not have enough experience to get quality products. Often, they do not find any useful recommendations on which products are best for their needs [4,15,16]. 2 of 20 To tackle this situation, the paper proposes a consumer-oriented approach to help new consumers choose IoT products that best serve their needs from products available in the market. Based on the quality definitions, satisfying a consumer's requirements on a particular product indicates that it is a high-quality product. ...
... This phase is used to formulate a set of useful recommendations to help new consumers using different filtering processes. Filtering is a term commonly used to describe the process by which certain elements are selected and others excluded according to predefined criteria or rules [16,40]. ...
This paper proposes a consumer-oriented approach to IoT product recommendations. It is designed to help new consumers choose high-quality IoT products that best meet their needs. We used hybrid techniques to implement the proposed approach. Experiments were also conducted to implement an intelligent IoT marketing system at the Rehab marketplace. The system has shown good results in its performance, usability, and user satisfaction. These results confirm the applicability and effectiveness of the approach in assessing and recommending IoT products.
... The development of the design model is extended for IoT devices, message routing and data analytics. The Internet of things (IoT) in the smart city is examined, managed and controlled by the proper utilization of resources in smart cities [24]. The applications of IoT are used in the smart cities without human involvement [24]. ...
... The Internet of things (IoT) in the smart city is examined, managed and controlled by the proper utilization of resources in smart cities [24]. The applications of IoT are used in the smart cities without human involvement [24]. There are interconnection between the IoT devices which communicate for different tasks. ...
With the development of smart meters, like Internet of Things (IoT), various kinds of electronic devices are equipped with each smart city. The several aspects of smart cities are accessible and these technologies enable us to be smarter. The utilization of the smart systems is very quick and valuable source to fulfill the requirement of city development. There are interconnection between various IoT devices and huge amount of data is generated when they communicate each other over the internet. It is very challenging task to effectively integrate the IoT services and processing big data. Therefore, a system for smart city development is proposed in this paper which is based on the IoT utilizing the analytics of big data. A complete system is proposed which includes various types of IoT-based smart systems like smart home, vehicular networking, and smart parking etc., for data generation. The Hadoop ecosystem is utilized for the implementation of the proposed system. The evaluation of the system is done in terms of throughput and processing time. The proposed technique is 20% to 65% better than the existing techniques in terms of time required for processing. In terms of obtained throughput, the proposed technique outperforms the existing technique by 20% to 60%.
