Improvement of Energy Consumption in Fog Computing Via Task Offloading

Authors

  • Wan Norsyafizan W. Muhamad School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Audrey Celine Ribep School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Kaharudin Dimyati Department of Electrical Engineering, Faculty of Engineering, University Malaya, 50603 Kuala Lumpur, Malaysia
  • Azita Laily Yusof School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Ezmin Abdullah School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.37934/araset.36.2.199212

Keywords:

Task offloading, Gale Shapley, fog nodes, energy consumption, latency

Abstract

The role of fog computing is to lessen the burden of Cloud and device computing. The purpose of this project is to solve the energy consumption and latency issues in the IoT 6G device as well as propose an approach to match the fog nodes with the IoT devices in task-offloading. This project implemented the Gale Shapley Stable Marriage Matching Game with a task-offloading energy efficiency technique. One-to-one matching is applied, in four fog nodes and four IoT devices according to the size of the task in IoT devices and energy in fog nodes. Simulation results prove that the proposed approach improves energy consumption and latency by 36.15% and 37.5% respectively. 

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Author Biographies

Wan Norsyafizan W. Muhamad, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

syafizan@uitm.edu.my

Audrey Celine Ribep, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

96aceline@gmail.com

Kaharudin Dimyati, Department of Electrical Engineering, Faculty of Engineering, University Malaya, 50603 Kuala Lumpur, Malaysia

kaharudin@um.edu.my

Azita Laily Yusof, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

azita968@uitm.edu.my

Ezmin Abdullah, School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

ezmin@uitm.edu.my

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Published

2023-12-30

How to Cite

Wan Norsyafizan W. Muhamad, Audrey Celine Ribep, Kaharudin Dimyati, Azita Laily Yusof, & Ezmin Abdullah. (2023). Improvement of Energy Consumption in Fog Computing Via Task Offloading. Journal of Advanced Research in Applied Sciences and Engineering Technology, 36(2), 199–212. https://doi.org/10.37934/araset.36.2.199212

Issue

Vol. 36 No. 2: June (2024)

Section

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