Internet of Things for Smart City: Challenges and Solutions

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 22496

Special Issue Editors


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Guest Editor
Faculty of Engineering and Technology, Hung Vuong University, Ho Chi Minh City, Vietnam
Interests: smart cities; IoT; smart transportation; energy management; city services; MEC; VANET; MCC

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Guest Editor
Department of Machining, Assembly and Engineering Technology, Faculty of Mechanical Engineering, VSB-TU Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic
Interests: 3D printing; additive manufacturing; advanced materials; computer-aided engineering; SLM; SLA; DLP; design
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Synchromedia Laboratory, Ecole de Technologie Supérieure, Montreal, QC, Canada
Interests: cloud computing; fog network; network function virtualization; demand response

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Guest Editor
School of Computer Science and Engineering, International University (IU) – Vietnam National University of Ho Chi Minh City (VNUHCM), Ho Chi Minh City, Vietnam
Interests: image forensics; embedded systems; deep learning; AI applied in higher education

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Guest Editor
Department of Information Management, Tamkang University, New Taipei City, Taiwan
Interests: intelligence control; UAV; optimization algorithm; computer vision and AI

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Guest Editor
Big Data Integration Research Center, Universal Communication Research Institute – National Institute of Information and Communications Technology, Tokyo, Japan
Interests: EDGE-AI; B5G; digital twin applications

Special Issue Information

Dear Colleagues,

Along with the development of the Internet of Things (IoT), cities are increasingly embracing smart technologies and innovations. Smart cities combine internet-connected devices, smart sensors, and IoT, which can improve and streamline city management. Moreover, IoT-based systems provide many smart services, such as mixed land uses, transportation linkages, and urban services of high-quality with long-lasting economic growth by enabling person-to-object and object-to-object communications. However, the deployment of the domain of the application of IoT is a challenging task because it requires extensive financial planning and resources.

In our Special Issue, we discuss new issues and find a solution in the area of transportation, energy management, health, education, city services, surveillance, and technology-related issues.

Potential topics of interest include, but are not limited to:

  • Smart transportation;
  • Energy management;
  • Health management and service;
  • City services;
  • Surveillance;
  • Smart electronics;
  • Smart factory;
  • Smart manufacturing;
  • Applications in Industry 4.0;
  • Big Data.

Dr. Van Dung Nguyen
Dr. Marek Pagáč
Dr. Chuan Pham
Dr. Huynh Kha Tu
Dr. Huu Khoa Tran
Dr. Tran Anh Khoa
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart cities
  • IoT
  • smart transportation
  • energy management
  • city services

Published Papers (5 papers)

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Research

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15 pages, 2077 KiB  
Article
A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare
by Hoang-Sy Nguyen, Huynh-Cong Danh, Quoc-Phu Ma, Jakub Mesicek, Jiri Hajnys, Marek Pagac and Jana Petru
Electronics 2023, 12(22), 4586; https://doi.org/10.3390/electronics12224586 - 10 Nov 2023
Cited by 3 | Viewed by 1230
Abstract
The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and [...] Read more.
The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and reality interaction, and human-centered communication for healthcare (the Metaverse, Extended Reality (XR), blockchain, Artificial Intelligence (AI), robotics). In particular, we assess the number of scientific articles and patents within the period 2015–2022. We then use the two-stage process following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and screening techniques. From that, the relations among the published papers can be visualized. This study examines the insights by evaluating the weights and connections of the nodes in the bibliometric networks. The reviewed papers showcase the rapid growth of IoT-related studies and intellectual property developments, reflecting the burgeoning interest and investment in this domain. As this paper delves into the network of interconnections between these works, it fosters a deeper understanding of the current state of IoT applications in healthcare and uncovers potential research gaps and areas for future exploration. This paper also provides a brief view of the role of IoT in healthcare research and application in combination with emerging technologies such as AI, blockchain, the IoT-enabled Metaverse, robotics, and cloud computing. The article can serve as a guideline and inspiration for both researchers and practitioners in the smart health service sector. Full article
(This article belongs to the Special Issue Internet of Things for Smart City: Challenges and Solutions)
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13 pages, 3580 KiB  
Article
Interoperability Benefits and Challenges in Smart City Services: Blockchain as a Solution
by Sujit Biswas, Zigang Yao, Lin Yan, Abdulmajeed Alqhatani, Anupam Kumar Bairagi, Fatima Asiri and Mehedi Masud
Electronics 2023, 12(4), 1036; https://doi.org/10.3390/electronics12041036 - 19 Feb 2023
Cited by 4 | Viewed by 2846
Abstract
The widespread usage of smart devices with various city-centric services speeds up and improves civic life, in contrast to growing privacy and security concerns. Security issues are exacerbated when e-government service providers trade their services within a centralised framework. Due to security concerns, [...] Read more.
The widespread usage of smart devices with various city-centric services speeds up and improves civic life, in contrast to growing privacy and security concerns. Security issues are exacerbated when e-government service providers trade their services within a centralised framework. Due to security concerns, city-centric centralised services are being converted to blockchain-based systems, which is a very time-consuming and challenging process. The interoperability of these blockchain-based systems is also more challenging due to protocol variances, an excessive amount of local transactions that raise scalability and rapidly occupy memory. In this paper, we have proposed a framework for interoperability across various blockchain-based smart city services. It also summarises how independent service providers might continue self-service choices (i.e., local transactions) without overloading the blockchain network and other organisations. A simulated interoperability network is used to show the network’s effectiveness. The experimental outcomes show the scalability and memory optimization of the blockchain network. Full article
(This article belongs to the Special Issue Internet of Things for Smart City: Challenges and Solutions)
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19 pages, 2594 KiB  
Article
Towards Channel-Wise Bidirectional Representation Learning with Fixed-Point Positional Encoding for SoH Estimation of Lithium-Ion Battery
by Thien Pham, Loi Truong, Hung Bui, Thang Tran, Akhil Garg, Liang Gao and Tho Quan
Electronics 2023, 12(1), 98; https://doi.org/10.3390/electronics12010098 - 26 Dec 2022
Cited by 2 | Viewed by 1274
Abstract
5G is the fifth generation of cellular networks and has been used in a lot of different areas. 5G often requires sudden rises in power consumption. To stabilize the power supply, a 5G system requires a lithium-ion battery (LIB) or a mechanism called [...] Read more.
5G is the fifth generation of cellular networks and has been used in a lot of different areas. 5G often requires sudden rises in power consumption. To stabilize the power supply, a 5G system requires a lithium-ion battery (LIB) or a mechanism called AC main modernization to provide energy support during the power peak periods. The LIB approach is the best option in terms of simplicity and maintainability. Moreover, a 5G system requires not only high-performance energy but also the ability of tracking and prediction. Therefore, the requirement for a smart power supply for lithium-ion batteries with temporal monitoring and estimation is highly desirable. In this paper, we focus on artificial intelligence (AI) improvements to increase the accuracy of LIB state-of-health prediction. By observing the SeqInSeq nature of the battery data, our approach uses self-attention and fixed-point positional encoding. We also take advantage of autoregression to archive the trainable dependency from a non-linear branch and a linear branch in creating the final output. Compared with the current state-of-the-art (SOTA) method, our experimental results show that we provide better accuracy, compared with the baseline output using the NASA and CALCE datasets. From the same setting, we archive a reduction of 20.08% root mean square error (RMSE) and 29.01% mean absolute percentage error (MAPE) on NASA loss, compared to the SOTA approaches. On CALCE, the numbers are a 5.99% RMSE and 12.59% MAPE decrement, which is significant. Full article
(This article belongs to the Special Issue Internet of Things for Smart City: Challenges and Solutions)
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19 pages, 1668 KiB  
Article
Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application
by Van Dung Nguyen, Huynh Van Khoa, Tam Nguyen Kieu and Eui-Nam Huh
Electronics 2022, 11(19), 3151; https://doi.org/10.3390/electronics11193151 - 30 Sep 2022
Cited by 2 | Viewed by 6052
Abstract
Tracking coronavirus patients and determining their close contacts (as part of COVID-19 mapping) have been huge challenges. In universities, in particular, there are many students and large gatherings who are at a higher risk of obtaining COVID-19. Many smart attendance management systems have [...] Read more.
Tracking coronavirus patients and determining their close contacts (as part of COVID-19 mapping) have been huge challenges. In universities, in particular, there are many students and large gatherings who are at a higher risk of obtaining COVID-19. Many smart attendance management systems have been proposed that are based on RFID and fingerprint sensor modules, facial recognition, etc. However, these techniques operate with specific requirements, such as GPUs and large memories/datasets, or by combining recognizance and thermal cameras. To solve these issues and reduce costs, we designed an Internet of Things (IoT)-based intelligent attendance management system. In this paper, we compare the advantages/disadvantages of existing smart attendance management systems. We designed an IoT-based intelligent attendance management system based on the cloud, a web server, Google API, a non-contact body temperature sensor, and the Raspberry Pi 4 module (4G). We conducted a survey at a university and summarized the satisfaction levels of using our system. Full article
(This article belongs to the Special Issue Internet of Things for Smart City: Challenges and Solutions)
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Review

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63 pages, 2334 KiB  
Review
Networking Architectures and Protocols for IoT Applications in Smart Cities: Recent Developments and Perspectives
by Dimitris Kanellopoulos, Varun Kumar Sharma, Theodor Panagiotakopoulos and Achilles Kameas
Electronics 2023, 12(11), 2490; https://doi.org/10.3390/electronics12112490 - 31 May 2023
Cited by 9 | Viewed by 9286
Abstract
Numerous municipalities employ the smart city model in large cities to improve the quality of life of their residents, utilize local resources efficiently, and save operating expenses. This model incorporates many heterogeneous technologies such as Cyber-Physical Systems (CPS), Wireless Sensor Networks (WSNs), and [...] Read more.
Numerous municipalities employ the smart city model in large cities to improve the quality of life of their residents, utilize local resources efficiently, and save operating expenses. This model incorporates many heterogeneous technologies such as Cyber-Physical Systems (CPS), Wireless Sensor Networks (WSNs), and Cloud Computing (ClCom). However, effective networking and communication protocols are required to provide the essential harmonization and control of the many system mechanisms to achieve these crucial goals. The networking requirements and characteristics of smart city applications (SCAs) are identified in this study, as well as the networking protocols that can be utilized to serve the diverse data traffic flows that are required between the dissimilar mechanisms. Additionally, we show examples of the networking designs of a few smart city systems, such as smart transport, smart building, smart home, smart grid, smart water, pipeline monitoring, and control systems. Full article
(This article belongs to the Special Issue Internet of Things for Smart City: Challenges and Solutions)
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