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IoT Multi Sensors–2nd Edition
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IoT Multi Sensors–2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 4186

Special Issue Editor

Dr. Alexandru Lavric

E-Mail Website
Guest Editor
Computers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
Interests: wireless sensors networks; LPWAN; Low-Power Wide-Area Network; machine learning; large scale high-density WSN; LoRaWAN; SigFox
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, we have witnessed continuous discussion about the Internet of Things (IoT) concept, which involves connecting the various objects that surround us in everyday life to the Internet.

In order to cope with the new challenges and IoT applications, Low-Power Wide-Area Networks (LPWANs) have been created. The IoT concept is currently the focus of the entire academic community.

The main purpose of the IoT concept, which is closely related to the Smart City topic, is to increase quality of life by contributing to the efficient use of resources and environment protection. IoT technologies are sufficiently enhanced to enable the development of integrated solutions for multi-sensors design.

This Special Issue will focus on state-of-the-art technologies, the latest findings, and current challenges in IoT with emphasis on healthcare, transportation, antenna design and disease detection.

We shall solicit papers that cover numerous topics of interest that include, but are not limited to:

  • IoT communication protocols;
  • LPWAN for IoT (Sigfox, LoRa, etc.);
  • Antenna design for IoT applications;
  • Large-scale, high-density IoT networks and architectures;
  • IoT applications and multi-sensors for transportation and traffic control;
  • IoT convergence for Smart Health;
  • Machine-learning/deep-learning algorithms for sensing IoT;
  • Machine-learning-based healthcare applications and disease detection;
  • Applications and examples of use.

Dr. Alexandru Lavric
Guest Editor

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. Sensors 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 2600 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.

Related Special Issue

Published Papers (3 papers)

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Research

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26 pages, 6625 KiB  
Article
The Design and Implementation of a Phased Antenna Array System for LEO Satellite Communications
by Cezar-Ion Adomnitei, Cezar-Eduard Lesanu, Adrian Done, Ang Yu, Mihai Dimian and Alexandru Lavric
Sensors 2024, 24(6), 1915; https://doi.org/10.3390/s24061915 - 16 Mar 2024
Viewed by 587
Abstract
LEO satellite constellations can provide a viable alternative to expand connectivity to remote, isolated geographical areas and complement existing IoT terrestrial communication infrastructures. This paper aims to improve LEO satellite communications by implementing a new phased antenna array system that can significantly improve [...] Read more.
LEO satellite constellations can provide a viable alternative to expand connectivity to remote, isolated geographical areas and complement existing IoT terrestrial communication infrastructures. This paper aims to improve LEO satellite communications by implementing a new phased antenna array system that can significantly improve the radio communication link’s performance. By adjusting the progressive phase shift to each element of the antenna array system, the direction of the main radiation lobe of the phased antenna array system can be controlled with accuracy. As far as we know, it is the first time that a four-element, three-quarter wavelength phased antenna array system has been successfully realized with the intention of being optimized for implementation in LEO IoT satellite reception systems. The proposed system’s high level of performance is confirmed by the measurements, which indicate effective control of the main radiation lobe orientation. The numerical analysis shows a maximum gain close to 12 dBi for about 42° elevation, a Half Power Beamwidth (HPBW) of 32° in the vertical plane, and 80° in the azimuth plane. The experimental measurement results at various main lobe orientation angles revealed an HPBW ranging from 76° to 87° in the azimuth plane and a maximum Front-to-Back ratio (F/B) of 14.5 dB. Full article
(This article belongs to the Special Issue IoT Multi Sensors–2nd Edition)
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Review

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32 pages, 1274 KiB  
Review
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends
by Saida Hafsa Rafique, Amira Abdallah, Nura Shifa Musa and Thangavel Murugan
Sensors 2024, 24(6), 1968; https://doi.org/10.3390/s24061968 - 20 Mar 2024
Viewed by 1541
Abstract
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilitating the prompt identification and resolution of anomalies. [...] Read more.
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilitating the prompt identification and resolution of anomalies. When AI and the IoT are combined, anomaly detection becomes more effective, enhancing the reliability, efficacy, and integrity of IoT systems. AI-based anomaly detection systems are capable of identifying a wide range of threats in IoT environments, including brute force, buffer overflow, injection, replay attacks, DDoS assault, SQL injection, and back-door exploits. Intelligent Intrusion Detection Systems (IDSs) are imperative in IoT devices, which help detect anomalies or intrusions in a network, as the IoT is increasingly employed in several industries but possesses a large attack surface which presents more entry points for attackers. This study reviews the literature on anomaly detection in IoT infrastructure using machine learning and deep learning. This paper discusses the challenges in detecting intrusions and anomalies in IoT systems, highlighting the increasing number of attacks. It reviews recent work on machine learning and deep-learning anomaly detection schemes for IoT networks, summarizing the available literature. From this survey, it is concluded that further development of current systems is needed by using varied datasets, real-time testing, and making the systems scalable. Full article
(This article belongs to the Special Issue IoT Multi Sensors–2nd Edition)
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35 pages, 1136 KiB  
Review
Advancements and Challenges in IoT Simulators: A Comprehensive Review
by Reham Almutairi, Giacomo Bergami and Graham Morgan
Sensors 2024, 24(5), 1511; https://doi.org/10.3390/s24051511 - 26 Feb 2024
Cited by 1 | Viewed by 1665
Abstract
The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although the idea of interconnected devices predates the term “Internet of Things”, which was coined in 1999 by Kevin Ashton, the vision of [...] Read more.
The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although the idea of interconnected devices predates the term “Internet of Things”, which was coined in 1999 by Kevin Ashton, the vision of a seamlessly integrated world of devices has been accelerated by advancements in wireless technologies, cost-effective computing, and the ubiquity of mobile devices. This study aims to provide an in-depth review of existing and emerging IoT simulators focusing on their capabilities and real-world applications, and discuss the current challenges and future trends in the IoT simulation area. Despite substantial research in the IoT simulation domain, many studies have a narrow focus, leaving a gap in comprehensive reviews that consider broader IoT development metrics, such as device mobility, energy models, Software-Defined Networking (SDN), and scalability. Notably, there is a lack of literature examining IoT simulators’ capabilities in supporting renewable energy sources and their integration with Vehicular Ad-hoc Network (VANET) simulations. Our review seeks to address this gap, evaluating the ability of IoT simulators to simulate complex, large-scale IoT scenarios and meet specific developmental requirements, as well as examining the current challenges and future trends in the field of IoT simulation. Our systematic analysis has identified several significant gaps in the current literature. A primary concern is the lack of a generic simulator capable of effectively simulating various scenarios across different domains within the IoT environment. As a result, a comprehensive and versatile simulator is required to simulate the diverse scenarios occurring in IoT applications. Additionally, there is a notable gap in simulators that address specific security concerns, particularly battery depletion attacks, which are increasingly relevant in IoT systems. Furthermore, there is a need for further investigation and study regarding the integration of IoT simulators with traffic simulation for VANET environments. In addition, it is noteworthy that renewable energy sources are underrepresented in IoT simulations, despite an increasing global emphasis on environmental sustainability. As a result of these identified gaps, it is imperative to develop more advanced and adaptable IoT simulation tools that are designed to meet the multifaceted challenges and opportunities of the IoT domain. Full article
(This article belongs to the Special Issue IoT Multi Sensors–2nd Edition)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Advancements and Challenges in IoT Simulators: A Comprehensive Review
Authors: Reham Almutairi, Giacomo Bergami, and Graham Morgan.
Affiliation: Newcastle University, UK.
Abstract: The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although the idea of interconnected devices predates the term ”Internet of Things,” which was coined in 1999 by Kevin Ashton, the vision of a seamlessly integrated world of devices has been accelerated by advancements in wireless technologies, cost-effective computing, and the ubiquity of mobile devices. This study aims to provide an in- 5 depth review of existing and emerging IoT simulators, focusing on their capabilities and real-world applications. Despite substantial research in the IoT simulation domain, many studies have a narrow focus, leaving a gap in comprehensive reviews that consider broader IoT development metrics, such as device mobility, energy models, Software-Defined Networking (SDN), and scalability. Notably, there is a lack of literature examining IoT simulators’ capabilities in supporting renewable energy sources and their integration with Vehicular Ad-hoc Network (VANET) simulations. Our review seeks to address this gap, evaluating the ability of IoT simulators to simulate complex, large-scale 12 IoT scenarios and meet specific developmental requirements. Our findings underscore the diverse capabilities of existing simulators, highlighting the open challenges in security, privacy, mobility, SDN support, energy modeling, scalability, and the integration of IoT with VANET simulations. The study concludes that while the IoT simulator landscape is evolving, there remains an urgent need for tools that can adapt to the dynamic requirements of the IoT ecosystem, offering researchers a platform to address current challenges and contribute meaningfully to the field.

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