Energy-efficient task offloading in fog computing for 5G cellular network

The proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Ma...

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Published in:Engineering Science and Technology, an International Journal
Main Author: Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
Format: Article
Language:English
Published: Elsevier B.V. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185177720&doi=10.1016%2fj.jestch.2024.101628&partnerID=40&md5=3d03b79adc79f0bd1c3427e3353e2773
id 2-s2.0-85185177720
spelling 2-s2.0-85185177720
Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
Energy-efficient task offloading in fog computing for 5G cellular network
2024
Engineering Science and Technology, an International Journal
50

10.1016/j.jestch.2024.101628
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185177720&doi=10.1016%2fj.jestch.2024.101628&partnerID=40&md5=3d03b79adc79f0bd1c3427e3353e2773
The proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Matching technique. The proposed Gale Shapley Stable Marriage matching game focuses on one-to-one matching between four mobile devices and four fog nodes. By integrating energy availability and proximity into a single preference function, the algorithm can identify an ideal partner for task offloading that minimizes energy consumption and latency. The simulation results demonstrate that the proposed technique reduces energy usage and latency by 31.36% and 30%, respectively. © 2024 Karabuk University
Elsevier B.V.
22150986
English
Article
All Open Access; Gold Open Access
author Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
spellingShingle Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
Energy-efficient task offloading in fog computing for 5G cellular network
author_facet Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
author_sort Muhamad W.N.W.; Mohd Aris S.S.; Dimyati K.; Javed M.A.; Idris A.; Mohd Ali D.; Abdullah E.
title Energy-efficient task offloading in fog computing for 5G cellular network
title_short Energy-efficient task offloading in fog computing for 5G cellular network
title_full Energy-efficient task offloading in fog computing for 5G cellular network
title_fullStr Energy-efficient task offloading in fog computing for 5G cellular network
title_full_unstemmed Energy-efficient task offloading in fog computing for 5G cellular network
title_sort Energy-efficient task offloading in fog computing for 5G cellular network
publishDate 2024
container_title Engineering Science and Technology, an International Journal
container_volume 50
container_issue
doi_str_mv 10.1016/j.jestch.2024.101628
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185177720&doi=10.1016%2fj.jestch.2024.101628&partnerID=40&md5=3d03b79adc79f0bd1c3427e3353e2773
description The proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Matching technique. The proposed Gale Shapley Stable Marriage matching game focuses on one-to-one matching between four mobile devices and four fog nodes. By integrating energy availability and proximity into a single preference function, the algorithm can identify an ideal partner for task offloading that minimizes energy consumption and latency. The simulation results demonstrate that the proposed technique reduces energy usage and latency by 31.36% and 30%, respectively. © 2024 Karabuk University
publisher Elsevier B.V.
issn 22150986
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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