Next Generation Internet of Things: Architectures, Requirements & Applications

A special issue of Digital (ISSN 2673-6470).

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 7712

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: IoT; 5G mobile communication; UAV; quality of service; radio access networks; computer network security; radio networks; artificial intelligence
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Department of Networks and Digital Media, School of Computer Science and Mathematics, SEC, Kingston University, London KT1 2EE, UK
Interests: machine learning; artificial intelligence; intelligent and immersive environments; computer vision
Special Issues, Collections and Topics in MDPI journals

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Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is enabled by heterogeneous technologies, devices, and platforms, where they work together towards providing sensing, collecting, acting, processing, managing and analysing data. The emergence of the IoT concept has led to the pervasive interconnection of people, services, and devices. However, new systems in the IoT domain that employ smart solutions having embedded intelligence, connectivity and processing capabilities for edge devices rely on real-time processing at the edge of the IoT network—near the end user. Current, traditional cloud computing and IoT solutions are not able to support real-time applications, since they are designed to offer non-real-time services, e.g., stress detection in IoT smart farming applications, while they are offered at a high cost. The computation remains at the cloud, i.e., at the provider data center, while heavy analytics, visualisations, and user-aware services need long times; they are expensive, and they pose privacy issues since personal information is stored and processed in the backbone centralised servers. Next-generation IoT (NG-IoT) systems and solutions require low latency and ultra-fast analytics, given that they bring advanced smart technologies and applications with embedded intelligence, connectivity, and processing capabilities. The implementation of a reliable connectivity between devices, sensors and computing platforms is of fundamental importance towards achieving the goals of NG-IoT applications.

This Special Issue will cover a wide range of research challenges and trends related to NG-IoT architectures, requirements and applications. Researchers are invited to submit novel contributions in, but not limited to, the following topics:

  • NG-IoT reference architectural models;
  • NG-IoT testbeds, paradigms, and applications;
  • Fifth generation (5G) technologies and NG-IoT;
  • Software-defined networking (SDN) developments and applications in NG-IoT;
  • Network function virtualisation (NFV) orchestration in NG-IoT;
  • Artificial intelligence (AI) on the edge;
  • Digital twins and tactile IoT;
  • NG-IoT privacy and security frameworks;
  • Traffic engineering, quality-of-service (QoS), and quality-of-experience (QoE) optimisation in NG-IoT;
  • Blockchain applications for NG-IoT;
  • Energy-efficiency applications in NG-IoT;
  • NG-IoT applications in healthcare and medicine applications;
  • NG-IoT applications in industrial applications;
  • NG-IoT applications for precision agriculture, food safety and quality.

Dr. Panagiotis Sarigiannidis
Dr. Thomas Lagkas
Prof. Dr. Vasileios Argyriou
Prof. Dr. Antonio Skarmeta
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

15 pages, 532 KiB  
Article
SDN-Based Resilient Smart Grid: The SDN-microSENSE Architecture
by Panagiotis Radoglou Grammatikis, Panagiotis Sarigiannidis, Christos Dalamagkas, Yannis Spyridis, Thomas Lagkas, Georgios Efstathopoulos, Achilleas Sesis, Ignacio Labrador Pavon, Ruben Trapero Burgos, Rodrigo Diaz, Antonios Sarigiannidis, Dimitris Papamartzivanos, Sofia Anna Menesidou, Giannis Ledakis, Achilleas Pasias, Thanasis Kotsiopoulos, Anastasios Drosou, Orestis Mavropoulos, Alba Colet Subirachs, Pol Paradell Sola, José Luis Domínguez-García, Marisa Escalante, Molinuevo Martin Alberto, Benito Caracuel, Francisco Ramos, Vasileios Gkioulos, Sokratis Katsikas, Hans Christian Bolstad, Dan-Eric Archer, Nikola Paunovic, Ramon Gallart, Theodoros Rokkas and Alicia Arceadd Show full author list remove Hide full author list
Digital 2021, 1(4), 173-187; https://doi.org/10.3390/digital1040013 - 30 Sep 2021
Cited by 30 | Viewed by 6039
Abstract
The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such [...] Read more.
The technological leap of smart technologies and the Internet of Things has advanced the conventional model of the electrical power and energy systems into a new digital era, widely known as the Smart Grid. The advent of Smart Grids provides multiple benefits, such as self-monitoring, self-healing and pervasive control. However, it also raises crucial cybersecurity and privacy concerns that can lead to devastating consequences, including cascading effects with other critical infrastructures or even fatal accidents. This paper introduces a novel architecture, which will increase the Smart Grid resiliency, taking full advantage of the Software-Defined Networking (SDN) technology. The proposed architecture called SDN-microSENSE architecture consists of three main tiers: (a) Risk assessment, (b) intrusion detection and correlation and (c) self-healing. The first tier is responsible for evaluating dynamically the risk level of each Smart Grid asset. The second tier undertakes to detect and correlate security events and, finally, the last tier mitigates the potential threats, ensuring in parallel the normal operation of the Smart Grid. It is noteworthy that all tiers of the SDN-microSENSE architecture interact with the SDN controller either for detecting or mitigating intrusions. Full article
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