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

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.

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Official URL: https://doi.org/10.1016/j.jestch.2024.101628

Abstract

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.

Item Type: Article
Funders: Universiti Teknologi MARA
Uncontrolled Keywords: Fog computing; 5G networks; Energy efficiency; Task offloading; Stable matching; Gale Shapley
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 11 Nov 2024 04:35
Last Modified: 11 Nov 2024 04:35
URI: http://eprints.um.edu.my/id/eprint/45733

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