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Internet of Things (IoT) in Smart Cities: Latest Advances and Prospects

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A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 20203

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Special Issue Editors

Dr. Cristina Stolojescu-Crisan

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Guest Editor

Communications Department, Politehnica University of Timisoara, 300223 Timisoara, Romania
Interests: smart homes; IoT; smart cities; energy management systems; home automation

Prof. Alexandru Isar

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Guest Editor

Politehnica University Timișoara/Electronics Telecommunications and Information Technologies Faculty, 2 Bd. V. Pârvan, 300223 Timișoara, Romania
Interests: wavelets; detection and estimation; satellite image processing; data mining; radar and sonar
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Special Issue Information

Dear Colleagues,

The smart city concept influences key aspects of the economy, health, transport, and energy, and contributes to the environment by building a strong infrastructure. The Internet of Things (IoT) offers new opportunities for cities, enabling citizens to live and work in more sustainable, healthy, and safe places. Citizens engage with smart city ecosystems using smartphones, mobile devices, and connected cars and homes. Pairing the devices with the physical infrastructure and services of a city can reduce costs and improve sustainability. Thus, communities can improve energy distribution, decrease traffic congestion, improve air quality, and control trash collection, among many other aspects of urban life using the IoT. The aim of this Special Issue is to bring together researchers to disseminate their recent advances related to the challenges and solutions in building trustful IoT for smart cities.

The particular topics of interest include, but are not limited to:

Smart city architecture and modeling;
Trusted architectures, algorithms, and protocols for IoT;
Smart home applications;
Internet of Things for smart energy systems;
Internet of Things for smart environments;
Blockchain technologies in smart cities;
Security solutions for smart cities;
Privacy protection in IoT applications;
Smart sensors systems;
Artificial intelligence, big data, and smart cities;
IoT device search in smart city;
Modeling, analysis, and measurement of high-confidence city IoT;
Novel IoT devices;
Smart city applications such as healthcare, transportation, and public security;
E-health.

Dr. Cristina Stolojescu-Crisan
Prof. Alexandru Isar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

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 devices
sensor networks
smart homes
blockchain
IoT security
smart grids
healthcare

Published Papers (3 papers)

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Research

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20 pages, 770 KiB

Open AccessArticle

Tag Estimation Method for ALOHA RFID System Based on Machine Learning Classifiers

by Lea Dujić Rodić, Ivo Stančić, Kristina Zovko, Toni Perković and Petar Šolić

Electronics 2022, 11(16), 2605; https://doi.org/10.3390/electronics11162605 - 19 Aug 2022

Cited by 2 | Viewed by 1484

Abstract

In the last two decades, Radio Frequency Identification (RFID) technology has attained prominent performance improvement and has been recognized as one of the key enablers of the Internet of Things (IoT) concepts. In parallel, extensive employment of Machine Learning (ML) algorithms in diverse IoT areas has led to numerous advantages that increase successful utilization in different scenarios. The work presented in this paper provides a use-case feasibility analysis of the implementation of ML algorithms for the estimation of ALOHA-based frame size in the RIFD Gen2 system. Findings presented in this research indicate that the examined ML algorithms can be deployed on modern state-of-the-art resource-constrained microcontrollers enhancing system throughput. In addition, such utilization can cope with latency since the execution time is sufficient to meet protocol needs. Full article

(This article belongs to the Special Issue Internet of Things (IoT) in Smart Cities: Latest Advances and Prospects)

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25 pages, 642 KiB

Open AccessFeature PaperArticle

Response Time and Intrinsic Information Quality as Criteria for the Selection of Low-Cost Sensors for Use in Mobile Weather Stations

by Agnieszka Chodorek, Robert Ryszard Chodorek and Paweł Sitek

Electronics 2022, 11(15), 2448; https://doi.org/10.3390/electronics11152448 - 7 Aug 2022

Cited by 2 | Viewed by 1474

Abstract

Smart-city management systems use information about the environment, including the current values of weather factors. The specificity of the urban sites requires a high density of weather measurement points, which forces the use of low-cost sensors. A typical problem of devices using low-cost sensors is the lack of legalization of the sensors and the resulting inaccuracy and uncertainty of measurement, which one can attempt to solve by additional sensor calibration. In this paper, we propose a different approach to this problem, i.e., the two-stage selection of sensors, carried out on the basis of both the literature (pre-selection) and experiments (actual selection). We formulated the criteria of the sensor selection for the needs of the sources of weather information: the major one, which is the fast response time of a sensor in a cyber-physical subsystem and two minor ones, which are based on the intrinsic information quality dimensions related to measurement information. These criteria were tested by using a set of twelve weather sensors from different manufacturers. Results show that the two-stage sensor selection allows us to choose the least energy consuming (due to the major criterion) and the most accurate (due to the minor criteria) set of weather sensors, and is able to replace some methods of sensor selection reported in the literature. The proposed method is, however, more versatile and can be used to select any sensors with a response time comparable to electric ones, and for the application of low-cost sensors that are not related to weather stations. Full article

(This article belongs to the Special Issue Internet of Things (IoT) in Smart Cities: Latest Advances and Prospects)

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Review

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41 pages, 3132 KiB

Open AccessReview

Cybersecurity Threats, Countermeasures and Mitigation Techniques on the IoT: Future Research Directions

by Esra Altulaihan, Mohammed Amin Almaiah and Ahmed Aljughaiman

Electronics 2022, 11(20), 3330; https://doi.org/10.3390/electronics11203330 - 16 Oct 2022

Cited by 25 | Viewed by 15634

Abstract

The Internet of Things (IoT) interconnects physical and virtual objects embedded with sensors, software, and other technologies, which exchange data using the Internet. This technology allows billions of devices and people to communicate, share data, and personalize services to make our lives easier. Despite the multiple benefits offered by IoT, it may also represent a critical issue due its lack of information security. Since the number of IoT devices has been rapidly increasing all over the world, they have become a target for many attackers, who try to steal sensitive information and compromise people’s privacy. As part of the IoT environment, data and services should be protected with features such as confidentiality, accuracy, comprehensiveness, authentication, access control, availability, and privacy. Cybersecurity threats are unique to the Internet of Things, which has unique characteristics and limitations. In consideration of this, a variety of threats and attacks are being launched daily against IoT. Therefore, it is important to identify these types of threats and find solutions to mitigate their risks. Therefore, in this paper, we reviewed and identified the most common threats in the IoT environment, and we classified these threats based on three layers of IoT architecture. In addition, we discussed the most common countermeasures to control the IoT threats and mitigation techniques that can be used to mitigate these threats by reviewing the related publications, as well as analyzing the popular application-layer protocols employed in IoT environments and their security risks and challenges. Full article

(This article belongs to the Special Issue Internet of Things (IoT) in Smart Cities: Latest Advances and Prospects)

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