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IoT-Oriented Infrastructures for Secured Smart Applications in Cities, Industry, and Societies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G1: Smart Cities and Urban Management".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 5971
Submit your paper and select the Journal “Energies” and the Special Issue “IoT-Oriented Infrastructures for Secured Smart Applications in Cities, Industry, and Societies” via: https://susy.mdpi.com/user/manuscripts/upload?journal=energies. Please contact the guest editor or the journal editor at [email protected] for any queries.

Special Issue Editor


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Guest Editor
MicroComputer Systems Laboratory (MCSL), Section of Applied and Computational Mathematics, Department of Mathematics, University of Ioannina, Ioannina, Greece
Interests: distributed systems; sensor networks; IoT protocols and algorithms; big data; cluster-based systems; databases; load balancing algorithms; middleware protocol design; network modeling; computer networks
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Special Issue Information

Dear Colleagues,

The emerging phenomenon of the next-generation Internet of Everything via recent advances in deep learning algorithms and low-energy footprints has revolutionized the industry and the way that humans interact and exchange information with things, and controllers. Advancements in low-energy communication technologies and IoT applications in everyday life have led to the development of intelligent control and management processes. Focusing mainly on conservation of resources and efficiency, such processes also offer smart automated incident management, industrial preventive maintenance, decision-supportive actions, autonomous integration of software, sensors and control processes, as well as capabilities of sophisticated machine learning, prediction, and response.

Examples of such systems include intelligent automotive and transportation systems, augmented reality-capable systems, industry facility management systems, low-power systems and services for smart homes, smart city accommodations, smart grids, smart healthcare systems, intelligent industrial monitoring systems, industrial resource conservation practices, smart power plants, and low-power real-time/haptic control systems. Bringing together data mining/deep learning techniques, IoT communication protocols and low-energy/resource conservation in the industry and cities will ensure safe, efficient, and secure management processes that can have great societal and economic impacts.

This Special Issue will promote state-of-the-art research covering all aspects of the design, implementation, and testing of intelligent, low-power IoT systems and applications that include smart algorithms or management processes or exploit augmented and interactive control interfaces. High-quality contributions addressing related theoretical and practical aspects are expected. The topics of interest for this Special Issue include but are not limited to:

  • Modeling, analysis, simulation, and verification of intelligent management systems and low-power IoT applications;
  • Cyber-physical systems, Internet of Things, embedded security, embedded smart algorithms, and autonomous decision support systems;
  • Design and evaluation of embedded systems–services implementing deep learning algorithms;
  • Hardware and software co-design of intelligent IoT management systems solutions for the industry and smart cities;
  • IoT prototype infrastructure protocols and algorithms;
  • Detection, evaluation, and prevention of threats and attacks in public IoT systems;
  • Data security, privacy, and trustworthiness of communication mechanisms–protocols in IoT systems;
  • Machine learning or deep-learning-based solutions for industrial processes and smart cities;
  • Industry scaled trustworthy smart systems and smart production systems focusing on resource conservation;
  • Augmented reality systems and applications for smart cities and the industry ;
  • Medical systems and services offering smart solutions and ubiquitous healthcare information systems;
  • Cloud, fog, and edge computing and new communication protocols for intelligent management and control operations;
  • Interactive low-energy control protocols and haptic interfaces supporting management processes;
  • Incident response management systems and smart facility management processes;
  • Mass notification systems;
  • Distributed sensory systems and distributed control systems monitoring and supporting public services;
  • Secure and intelligent design of smart grid, mobile and automotive systems and applications for smart cities.

Dr. Sotirios Kontogiannis
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. Energies 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.

Keywords

  • IoT
  • Distributed management systems
  • Industry 4.0
  • Smart cities
  • Incident response systems
  • Deep learning algorithms
  • Smart control systems and processes
  • Interactive systems
  • IoT protocols
  • IoT systems security
  • IoT data management

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Published Papers (2 papers)

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Research

12 pages, 2588 KiB  
Article
Beyond the Horizon, Backhaul Connectivity for Offshore IoT Devices
by Khurram Shabih Zaidi, Sadaf Hina, Muhammad Jawad, Ali Nawaz Khan, Muhammad Usman Shahid Khan, Haris Bin Pervaiz and Raheel Nawaz
Energies 2021, 14(21), 6918; https://doi.org/10.3390/en14216918 - 21 Oct 2021
Cited by 10 | Viewed by 2714
Abstract
The prevalent use of the Internet of Things (IoT) devices over the Sea, such as, on oil and gas platforms, cargo, and cruise ships, requires high-speed connectivity of these devices. Although satellite based backhaul links provide vast coverage, but they are inherently constrained [...] Read more.
The prevalent use of the Internet of Things (IoT) devices over the Sea, such as, on oil and gas platforms, cargo, and cruise ships, requires high-speed connectivity of these devices. Although satellite based backhaul links provide vast coverage, but they are inherently constrained by low data rates and expensive bandwidth. If a signal propagated over the sea is trapped between the sea surface and the Evaporation Duct (ED) layer, it can propagate beyond the horizon, achieving long-range backhaul connectivity with minimal attenuation. This paper presents experimental measurements and simulations conducted in the Industrial, Scientific, and Medical (ISM) Band Wi-Fi frequencies, such as 5.8 GHz to provide hassle-free offshore wireless backhaul connectivity for IoT devices over the South China Sea in the Malaysian region. Real-time experimental measurements are recorded for 10 km to 80 km path lengths to determine average path loss values. The fade margin calculation for ED must accommodate additional slow fading on top of average path loss with respect to time and climate-induced ED height variations to ensure reliable communication links for IoT devices. Experimental results confirm that 99% link availability of is achievable with minimum 50 Mbps data rate and up to 60 km distance over the Sea to connect offshore IoT devices. Full article
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22 pages, 5454 KiB  
Article
Proposed Management System and Response Estimation Algorithm for Motorway Incidents
by Sotirios Kontogiannis and Christodoulos Asiminidis
Energies 2021, 14(10), 2736; https://doi.org/10.3390/en14102736 - 11 May 2021
Cited by 6 | Viewed by 2450
Abstract
Motorway’s personnel tasks management and incidents monitoring, and response are critical processes that contribute to the motorway’s orderly and smooth operation. Existing management practices utilize SCADA technologies that control motorway actuator systems as well as various means of personnel communications mobile technologies. Nevertheless, [...] Read more.
Motorway’s personnel tasks management and incidents monitoring, and response are critical processes that contribute to the motorway’s orderly and smooth operation. Existing management practices utilize SCADA technologies that control motorway actuator systems as well as various means of personnel communications mobile technologies. Nevertheless, contemporary motorways lack a unified incident response solution that tracks resources, sends notification alerts when necessary, and automates incident resolution. This paper presents a new holistic and unified management and response system called Resources Management System (RMS). This system was originally implemented as a generic motorways resources management system for the EGNATIA ODOS motorway that uses it in Greece. The implemented RMS provides real-time resources tracking, personnel utilization algorithms, and data mining capabilities towards incident confrontation. It operates as an incidents’ collection and resources central communication interface. It is also capable of incident response and completion time categorization; real-time tunnel exits sensory monitoring, staff mobilization, and tracking system. Furthermore, the RMS includes machine learning methodologies and smart agents (bots) for solving the problem of estimating and evaluating the response and completion time of incidents based on previous successful incidents’ confrontations. Full article
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