Fog/Cloud/Edge Computing in IoT

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 901

Special Issue Editor


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Guest Editor
School of Engineering, London South Bank University, London SE1 0AA, UK
Interests: 5G; B5G; 6G; smart IoT and FPGAs; blockchain; collaborative cognitive-communication systems; AI-enabled recommendation systems and chatbots

Special Issue Information

Dear Colleagues,

The rapid development of Internet of Things (IoT) technology has led to enormous volumes of data being generated by interconnected devices. Fog, cloud, and edge computing have emerged as crucial paradigms with which to efficiently handle, process, and analyze this vast amount of data. It also involves optimizing applications through Artificial Intelligence, Deep Learning, and Computer Vision. The current Special Issue aims to explore the academic and industry-based advancements, challenges, and innovations in leveraging fog, cloud, and edge computing within the IoT ecosystem using intelligent and secure techniques.

This Special Issue seeks original research, review articles, and case studies addressing, but not limited to, the following topics:

  • Internet of Things and Industry 5.0;
  • Architecture and frameworks for integrating fog, cloud, and edge computing in IoT;
  • Edge intelligence, Blockchain, and analytics for IoT applications;
  • Security and privacy considerations in fog, cloud, and edge environments;
  • Resource management and optimization in distributed IoT systems;
  • Edge-to-cloud communication protocols and standards;
  • Machine learning, Deep Learning, Reinforcement Learning, and AI at the edge for IoT devices;
  • Edge-based data processing and real-time decision-making;
  • Scalability and reliability challenges in fog and edge computing for IoT;
  • Use cases, applications, and experimental deployments in real-world scenarios.

Dr. Muddesar Iqbal
Guest Editor

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Keywords

  • sustainable IoT for a sustainable society
  • Industry 5.0
  • smart applications for education
  • internet of everything for sustainable and smart cities
  • security
  • trust models for sustainable Internet of Things
  • 5G/6G-empowered IoT solutions for sustainable development
  • artificial intelligence solutions for IoT-based smart cities
  • context-aware computing
  • recommender systems
  • edge computing

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Published Papers (1 paper)

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Research

17 pages, 8239 KiB  
Article
A Multi-Hop End-Edge Cooperative Computing Scheme for Power IoT
by Xue Li, Xiaojuan Chen, Guohua Li, Xuguang Zhang and Hongliu Yang
Electronics 2024, 13(13), 2595; https://doi.org/10.3390/electronics13132595 - 2 Jul 2024
Cited by 1 | Viewed by 661
Abstract
With the continuous development of the power Internet of Things (PIoT), smart devices (SDs) have been widely used in electric power inspections. Due to the limited resources of intelligent inspection SDs and the distance of overhead transmission lines, many inspection tasks cannot be [...] Read more.
With the continuous development of the power Internet of Things (PIoT), smart devices (SDs) have been widely used in electric power inspections. Due to the limited resources of intelligent inspection SDs and the distance of overhead transmission lines, many inspection tasks cannot be processed promptly. This paper proposes a multi-hop-based end-edge cooperative computing (MHCC) scheme to address inspection task processing in power IoT. We formulate a multi-hop task offloading problem that minimizes the energy consumption of inspection SDs with delay constraints. We develop a JDPSO algorithm to solve the multi-hop task offloading problem and evaluate the algorithm’s performance based on numerous simulation experiments. The experimental results show that JDPSO reduces the system’s energy consumption by 56.30%, 48.56%, 78.87%, 50.89%, 30.85%, and 68.31%, and also reduces delay by 50.69%, 42.78%, 58.67%, 44.84%, 10.22%, and 62.88% compared to GA, RSA, SSA, MFO, DOA, and ALC schemes. Full article
(This article belongs to the Special Issue Fog/Cloud/Edge Computing in IoT)
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