A comprehensive review on internet of things task offloading in multi-access edge computing.

Computation offloading Internet of things Mobile edge computing Multi-access edge computing Task offloading

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 20 02 2024
revised: 11 04 2024
accepted: 17 04 2024
medline: 3 5 2024
pubmed: 3 5 2024
entrez: 3 5 2024
Statut: epublish

Résumé

With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs) are more inclined to offload computing tasks to higher-performance computing servers, thereby solving the problems of insufficient computing capacity and rapid battery consumption of TD. The emergence of Multi-access Edge Computing (MEC) technology provides new opportunities for IoT task offloading. It allows TDs to access computing networks through multiple communication technologies and supports more mobility of terminal devices. Review studies on IoT task offloading and MEC have been extensive, but none of them focus on IoT task offloading in MEC. To fill this gap, this paper provides a comprehensive and in-depth understanding of the algorithms and mechanisms of multiple IoT task offloading in the MEC network. For each paper, the main problems solved by the mechanism, technical classification, evaluation methods, and supported parameters are extracted and analyzed. Furthermore, shortcomings of current research and future research trends are discussed. This review will help potential and new researchers quickly understand the panorama of IoT task offloading approaches in MEC and find appropriate research paths.

Identifiants

pubmed: 38698997
doi: 10.1016/j.heliyon.2024.e29916
pii: S2405-8440(24)05947-4
pmc: PMC11064154
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e29916

Informations de copyright

© 2024 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Wang Dayong (W)

Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia.

Kamalrulnizam Bin Abu Bakar (K)

Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia.

Babangida Isyaku (B)

Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia.
Department of Computer Science, Faculty of Information Communication Technology, Sule Lamido University, K/Hausa, Jigawa State, Nigeria.

Taiseer Abdalla Elfadil Eisa (T)

Department of Information Systems-Girls Section, King Khalid University, Mahayil, 62529, Saudi Arabia.

Abdelzahir Abdelmaboud (A)

Humanities Research Center Sultan Qaboos University, Muscat, Oman.

Classifications MeSH