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Written by Paweł Woźniak
Special Issue – a Proposal

Title of the Special Issue: Advances in Edge Computing for Mobile and Wireless Networks

Scope of the Special Issue:

Edge computing is a technology that enables data processing and storage to be handled at the edge of a network, such as near the source of the data or at the end user device. This technology has been gaining more and more interest in recent years as it allows for faster, more efficient data processing and storage without the need for a centralized data center. Edge computing has become increasingly important for mobile and wireless networks as it allows for faster processing of data and improved user experience. Recent advances in edge computing for mobile and wireless networks include the development of mobile edge computing (MEC), which enables mobile devices to process data at the edge of the network. This technology allows for low latency and improved user experience as the data is processed closer to the user. In addition, edge computing networks have been developed to facilitate the sharing of resources between multiple edge devices, such as cloud-based services, to enable faster data processing and storage. Other advances in edge computing for mobile and wireless networks include the use of fog computing and the development of infrastructure-as-a-service (IaaS) platforms. Fog computing enables distributed computing resources to be utilized at the edge of the network to enable faster data processing and storage.

Topics covered in the Special Issue:

We invite authors to submit original, unpublished research articles that address the challenges associated with edge computing for mobile and wireless networks. Topics of interest include, but are not limited to:

  • Edge computing architectures for mobile and wireless networks
  • Edge computing for mobile device offloading and resource optimization
  • Edge computing for low-latency applications
  • Edge computing for distributed sensing and IoT applications
  • Edge computing for 5G networks
  • Edge computing for vehicular networks
  • Edge computing for cognitive radio networks
  • Edge computing for multimedia streaming
  • Edge computing for energy efficient mobile and wireless networks
  • Security and privacy issues in edge computing for mobile and wireless networks
  • Real-world applications of edge computing for mobile and wireless networks

Submission schedule:

First Submission Deadline: 15 May 2023
Notification of First Round Decision: 15 July 2023
Revised Paper Submission Deadline: 15 August 2023
Notification of Final Decision: 15 October 2023


Guest Editors:

Lead Guest Editor

Dr Arvind Dhaka
Associate Professor, Manipal University Jaipur, India
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
https://scholar.google.co.in/citations?user=IOQDpsAAAAAJ&hl=en

Guest Editor 1

Dr Dijana Capeska Bogatinoska
UIST, Ohrid, North Macedonia
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Profile Link: https://scholar.google.com/citations?hl=en&user=QdhFIZAAAAAJ&view_op=list_works&sortby=pubdate

Guest Editor 2

Dr Edmar Candeia Gurjao,
Federal University of Campina Grande, Brazil
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Profile Link: https://scholar.google.com/citations?user=aeUgkCMAAAAJ&hl=en
Biography Available at: https://ecandeia.dee.ufcg.edu.br/

Call for Papers

Edge computing is a technology that enables data processing and storage to be handled at the edge of a network, such as near the source of the data or at the end user device. This technology has been gaining more and more interest in recent years as it allows for faster, more efficient data processing and storage without the need for a centralized data center. Edge computing has become increasingly important for mobile and wireless networks as it allows for faster processing of data and improved user experience. Recent advances in edge computing for mobile and wireless networks include the development of mobile edge computing (MEC), which enables mobile devices to process data at the edge of the network. This technology allows for low latency and improved user experience as the data is processed closer to the user. In addition, edge computing networks have been developed to facilitate the sharing of resources between multiple edge devices, such as cloud-based services, to enable faster data processing and storage. Other advances in edge computing for mobile and wireless networks include the use of fog computing and the development of infrastructure-as-a-service (IaaS) platforms. Fog computing enables distributed computing resources to be utilized at the edge of the network to enable faster data processing and storage.
We invite authors to submit original, unpublished research articles that address the challenges associated with edge computing for mobile and wireless networks. Topics of interest include, but are not limited to:

  • Edge computing architectures for mobile and wireless networks
  • Edge computing for mobile device offloading and resource optimization
  • Edge computing for low-latency applications
  • Edge computing for distributed sensing and IoT applications
  • Edge computing for 5G networks
  • Edge computing for vehicular networks
  • Edge computing for cognitive radio networks
  • Edge computing for multimedia streaming
  • Edge computing for energy efficient mobile and wireless networks
  • Security and privacy issues in edge computing for mobile and wireless networks
  • Real-world applications of edge computing for mobile and wireless networks