New Computing Tasks Offloading Method for MEC Based on Prospect Theory Framework

Mobile edge computing (MEC) provides reliable solutions for networked vehicles, mobile phones, and other mobile devices to complete intensive computing and delay-sensitive tasks. Most of the existing studies design a series of methods to achieve the expected goals based on assuming that users are ab...

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Bibliographic Details
Published in:IEEE transactions on computational social systems 2024-02, Vol.11 (1), p.770-781
Main Authors: Zhang, De-Gan, Dong, Wen-Miao, Zhang, Ting, Zhang, Jie, Zhang, Ping, Sun, Gui-Xiang, Cao, Ya-Hui
Format: Article
Language:English
Subjects:
Algorithms
Artificial fish swarm
Cell phones
Cellular communication
Cloud computing
Computation offloading
Computational modeling
computing offload
Delays
Edge computing
Energy consumption
Fish schools
Heuristic algorithms
Microcell networks
Mobile computing
prospect theory (PT)
Servers
small cellular network
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Summary:Mobile edge computing (MEC) provides reliable solutions for networked vehicles, mobile phones, and other mobile devices to complete intensive computing and delay-sensitive tasks. Most of the existing studies design a series of methods to achieve the expected goals based on assuming that users are absolutely rational. However, due to the subjectivity of users, the actual results will deviate from the real situation. Using the prospect theory (PT) framework, this article studies the problem of computing task offloading in real situations. Aiming at the task offloading problem in the small cellular network scenario, the artificial fish swarm algorithm is used to optimize the system energy with limited delay. Finally, the experimental tests verify the impact of user behavior on the system energy optimization and the effectiveness of the task offloading method proposed in this article.
ISSN:2329-924X
2373-7476
DOI:10.1109/TCSS.2022.3228692