Special Issue "Extending the Internet of Things for Automation in Smart and Sustainable Cities"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Wireless Control Networks".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 6700

Special Issue Editors

Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: wireless communications; wireless power transfer and applications; optical wireless communications; communications for biomedical engineering; wireless security
Special Issues, Collections and Topics in MDPI journals
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: wireless networking; MAC; VANETs; QoS; positioning
School of Computing, Math and Digital Technology, Manchester Metropolitan University, Manchester M15 6BH, UK
Interests: wireless sensor networks; Internet of things; wireless ad hoc communications; mobile communications; network security; sensor/actuator networks; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, over half the world's population lives in cities, and this percentage is set to increase to three quarters in 2050 according to the UN.  Built environments contribute to 70% of greenhouse gas emissions, 75% of the world's primary energy consumption and the waste of 250–500 million cubic meters of drinking water. Thus, urbanization makes cities a focus for environmental policy as it represents the largest of any environmental policy challenge.  Creating efficient smart cities and buildings through automation is therefore key to cope with the increased urban growth.

Today’s availability of low-cost embedded sensors and actuators offers an unprecedented opportunity to increase buildings’ operational efficiency through automation while reducing their running costs. Smart heterogeneous devices that monitor the utilization and energy consumption of buildings, e.g., motion, noise, temperature, moisture, humidity, gas and air quality sensors, smart meters, amongst others, can be integrated with citywide traffic systems, water recycling, power distribution, remote surveillance, waste disposal and other data infrastructures. These Internet of Things (IoT) devices need to communicate and coordinate with each other for smart buildings to operate autonomously and efficiently. Connectivity is often delivered by a combination of wired and wireless networks. This necessitates developing open and non-proprietary protocol standards.

Cities will be smart by interconnecting smart buildings, factories, vehicles, power grids and other data infrastructures.  We are currently at the start of this revolution, which is rapidly gaining momentum. The aim of this Special Issue is to publish cutting-edge research focused on addressing the various communication, sensing and actuation technical open challenges. It particularly focuses on future wireless communication, sensor and actuator technologies in the context of smart and sustainable cities. It also solicits contributions on wireless communications, signal processing and intelligent sensing and actuation. Authors of selected outstanding papers in the International Conference of Future Networks and Distributed Systems will be invited to submit extended versions of their papers for consideration in this Special Issue.

Topics of interest include the following:

  • Wireless communications systems and networks for IoT
  • Sensors and actuators for smart cities and automation
  • Distributed resource allocation
  • Human to machine communications
  • Architecture for sustainability and automation in urban environments
  • Artificial intelligence and data analytics for sensing and actuation
  • Security and safety in IoT-enabled automation
  • Digital twins, simulation and modeling for smart cities and IoT
  • Smart grids
  • Vehicular communication networks
  • Industry 4.0 and IoT applications to automation in smart cities
  • IoT and Blockchain for sustainable automation

Prof. Dr. George Karagiannidis
Prof. Dr. Weihua Zhuang
Prof. Dr. Mohammad Hammoudeh
Guest Editors

Short Biography

George K. Karagiannidis is currently a Professor in the Electrical & Computer Engineering Department of Aristotle University of Thessaloniki, Greece, and Head of the Wireless Communications & Information Processing (WCIP) Group. His research interests are in the broad area of digital communications systems and signal processing, with emphasis on wireless communications, optical wireless communications, wireless power transfer and applications and communications and signal processing for biomedical engineering. Dr. Karagiannidis was the Editor-in-Chief of IEEE Communications Letters, and currently he serves as Associate Editor-in-Chief of the IEEE Open Journal of Communications Society. Dr. Karagiannidis is an IEEE Fellow and one of the most highly cited authors across all areas of electrical engineering, recognized by Clarivate Analytics as Web-of-Science Highly Cited Researcher in the six consecutive years 2015–2020.

Weihua Zhuang has been with the University of Waterloo, Canada, since 1993, where she is a Professor and Tier I Canada Research Chair in Wireless Communication Networks. Dr. Zhuang was a recipient of the 2021 Women's Distinguished Career Award from the IEEE Vehicular Technology Society, the 2021 R.A. Fessenden Award from IEEE Canada, and the 2017 Technical Recognition Award in Ad Hoc and Sensor Networks from the IEEE Communications Society. She was the Editor-in-Chief of IEEE Transactions on Vehicular Technology from 2007 to 2013, Technical Program Chair/Co-Chair of IEEE VTC 2017/2016 Fall, and Technical Program Symposia Chair of IEEE Globecom 2011. She is an elected member of the Board of Governors and Vice President for Publications of the IEEE Vehicular Technology Society. Dr. Zhuang is a Fellow of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada.

Mohammad Hammoudeh is a Professor (Chair) of Cyber Security in the Department of Computing and Mathematics at Manchester Metropolitan University. He is the founder and Editor-in-Chief of ACM’s journal on Distributed Ledger Technologies: Research & Practice. Mohammad heads the CfACS Internet of Things Lab he founded in 2016. He established the lab as a leading research hub with a broad portfolio of successful, industry-sponsored projects. Mohammad has a global collaborative research network spanning the academic community, industry, policy makers and wider technology stakeholders in the field of cybersecurity, the Internet of Things and complex highly decentralized systems. Throughout his 15-year research career, Mohammad has developed significant insight and expertise in a number of computer science disciplines, such as Artificial Intelligence, adjacent to his area of specialism—decentralized systems.

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. Journal of Sensor and Actuator Networks 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 1600 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 buildings
  • sustainable cities
  • future networks
  • wireless communications
  • digital twins
  • artificial intelligence
  • internet of things
  • cyber–physical systems
  • industry 4.0
  • smart energy

Published Papers (3 papers)

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Research

Article
A Hierarchical Deep Learning-Based Intrusion Detection Architecture for Clustered Internet of Things
J. Sens. Actuator Netw. 2023, 12(1), 3; https://doi.org/10.3390/jsan12010003 - 28 Dec 2022
Cited by 5 | Viewed by 1518
Abstract
The Internet of Things (IoT) system’s ever-expanding attack surface calls for a new intrusion detection system (IDS). These systems may include thousands of wireless devices that need to be protected from cyberattacks. Recent research efforts used machine learning to analyze and identify various [...] Read more.
The Internet of Things (IoT) system’s ever-expanding attack surface calls for a new intrusion detection system (IDS). These systems may include thousands of wireless devices that need to be protected from cyberattacks. Recent research efforts used machine learning to analyze and identify various attacks and abnormal behavior on IoT systems. Most of these techniques are characterized by low accuracy and they do not scale to today’s IoT-enabled smart cities applications. This article proposes a secure automatic two-levels intrusion detection system (SATIDS) which utilizes the minimum redundancy maximum relevance (MRMR) feature selection technique and an enhanced version of long short-term memory (LSTM) based on an artificial recurrent neural network (RNN) to enhance the IDS performance. SATIDS aims at detecting traffic anomalies with greater accuracy while also reducing the time it takes to perform this task. The proposed algorithm was trained and evaluated using two of the most recent datasets based on realistic data: ToN-IoT and InSDN datasets. The performance analysis of the proposed system proves that it can differentiate between attacks and normal traffic, identify the attack category, and finally define the type of sub-attack with high accuracy. Comparing the performance of the proposed system with the existing IDSs reveals that it outperforms its best rivals from the literature in detecting many types of attacks. It improves accuracy, detection rates, F1-score, and precision. Using 500 hidden and two LSTM layers achieves accuracy of 97.5%, precision of 98.4%, detection rate of 97.9%, and F1-score of 98.05% on ToN-IoT dataset, and precision of 99%, detection rate of 99.6%, and F1-score of 99.3% on InSDN dataset. Finally, SATIDS was applied to an IoT network which utilizes the energy harvesting real-time routing protocol (EHRT). EHRT optimizes the low-energy adaptive clustering hierarchy (LEACH) routing technique using a modified artificial fish swarm algorithm. The integration between the optimized LEACH and the proposed IDS enhances the network lifetime, energy consumption, and security. Full article
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Article
Open-Source Internet of Things Gateways for Building Automation Applications
J. Sens. Actuator Netw. 2022, 11(4), 74; https://doi.org/10.3390/jsan11040074 - 08 Nov 2022
Viewed by 2342
Abstract
Due to its potential benefits in data transparency, maintenance, and optimization of operation, the Internet of Things (IoT) has recently emerged in the building automation system (BAS) domain. However, while various IoT devices have been developed, the integration into BAS remains a challenging [...] Read more.
Due to its potential benefits in data transparency, maintenance, and optimization of operation, the Internet of Things (IoT) has recently emerged in the building automation system (BAS) domain. However, while various IoT devices have been developed, the integration into BAS remains a challenging task due to the variety of conventional interfaces used in existing BAS. From an objective point of view, integrating IoT connectivity on existing devices’ printed circuit boards (PCBs) would be the most efficient option in terms of cost and resources, but requires adaptation of product lines, and vendors would often couple this with their own services and without an option for customization. By contrast, the majority of research activities focus on developing alternative or additional measurement systems, rather than connecting with legacy system components. Furthermore, most research applications cover very simple and individual use-cases with a do-it-yourself character and limited applicability in industrial applications. In this study, we present a scalable, industrial-like embedded solution to connect to common interfaces in BAS applications and share all the hardware and software design as an open-source platform for public use, customization, and further enhancement. Moreover, a thorough measurement performance analysis was conducted, suggesting an acceptable trade-off among accuracy, flexibility, and costs, e.g., achieving a performance increase by over 75% and a cost reduction by roughly 34% compared to a previous design. Full article
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Article
Global IoT Mobility: A Path Based Forwarding Approach
J. Sens. Actuator Netw. 2022, 11(3), 41; https://doi.org/10.3390/jsan11030041 - 01 Aug 2022
Cited by 2 | Viewed by 1891
Abstract
With the huge proliferation of mobile Internet of Things (IoT) devices such as connected vehicles, drones, and healthcare wearables, IoT networks are promising mobile connectivity capacity far beyond the conventional computing platforms. The success of this service provisioning is highly dependent on the [...] Read more.
With the huge proliferation of mobile Internet of Things (IoT) devices such as connected vehicles, drones, and healthcare wearables, IoT networks are promising mobile connectivity capacity far beyond the conventional computing platforms. The success of this service provisioning is highly dependent on the flexibility offered by such enabling technologies to support IoT mobility using different devices and protocol stacks. Many of the connected mobile IoT devices are autonomous, and resource constrained, which poses additional challenges for mobile IoT communication. Therefore, given the unique mobility requirements of IoT devices and applications, many challenges are still to be addressed. This paper presents a global mobility management solution for IoT networks that can handle both micro and macro mobility scenarios. The solution exploits a path-based forwarding fabric together with mechanisms from Information-Centric Networking. The solution is equally suitable for legacy session-based mobile devices and emerging information-based IoT devices such as mobile sensors. Simulation evaluations have shown minimum overhead in terms of packet delivery and signalling costs to support macro mobility handover across different IoT domains. Full article
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