Energy-efficient task offloading in fog computing for 5G cellular network
Document Type
Article
Publication Date
2-1-2024
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.
Keywords
Fog computing, 5G networks, Energy efficiency, Task offloading, Stable matching, Gale Shapley
Divisions
sch_ecs
Funders
Universiti Teknologi MARA
Publication Title
Enegineering Science and Technology-An Iinternational Journal-JESTECH
Volume
50
Publisher
Elsevier
Publisher Location
17-A/1 MAIN RING ROAD, LAJPAT NAGAR IV, NEW DELHI, 110024, INDIA