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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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Main Authors: Muhamad, Wan Norsyafizan W., Aris, Syamimi Syahirah Mohd, Dimyati, Kaharudin, Javed, Muhammad Awais, Idris, Azlina, Ali, Darmawaty Mohd, Abdullah, Ezmin
Format: Article
Published: Elsevier 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/45733/
https://doi.org/10.1016/j.jestch.2024.101628
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spelling my.um.eprints.457332024-11-11T04:35:25Z http://eprints.um.edu.my/45733/ Energy-efficient task offloading in fog computing for 5G cellular network Muhamad, Wan Norsyafizan W. Aris, Syamimi Syahirah Mohd Dimyati, Kaharudin Javed, Muhammad Awais Idris, Azlina Ali, Darmawaty Mohd Abdullah, Ezmin TK Electrical engineering. Electronics Nuclear engineering 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. Elsevier 2024-02 Article PeerReviewed Muhamad, Wan Norsyafizan W. and Aris, Syamimi Syahirah Mohd and Dimyati, Kaharudin and Javed, Muhammad Awais and Idris, Azlina and Ali, Darmawaty Mohd and Abdullah, Ezmin (2024) Energy-efficient task offloading in fog computing for 5G cellular network. Enegineering Science and Technology-An Iinternational Journal-JESTECH, 50. p. 101628. ISSN 2215-0986, DOI https://doi.org/10.1016/j.jestch.2024.101628 <https://doi.org/10.1016/j.jestch.2024.101628>. https://doi.org/10.1016/j.jestch.2024.101628 10.1016/j.jestch.2024.101628
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muhamad, Wan Norsyafizan W.
Aris, Syamimi Syahirah Mohd
Dimyati, Kaharudin
Javed, Muhammad Awais
Idris, Azlina
Ali, Darmawaty Mohd
Abdullah, Ezmin
Energy-efficient task offloading in fog computing for 5G cellular network
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.
format Article
author Muhamad, Wan Norsyafizan W.
Aris, Syamimi Syahirah Mohd
Dimyati, Kaharudin
Javed, Muhammad Awais
Idris, Azlina
Ali, Darmawaty Mohd
Abdullah, Ezmin
author_facet Muhamad, Wan Norsyafizan W.
Aris, Syamimi Syahirah Mohd
Dimyati, Kaharudin
Javed, Muhammad Awais
Idris, Azlina
Ali, Darmawaty Mohd
Abdullah, Ezmin
author_sort Muhamad, Wan Norsyafizan W.
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
publisher Elsevier
publishDate 2024
url http://eprints.um.edu.my/45733/
https://doi.org/10.1016/j.jestch.2024.101628
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score 13.222552

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