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

• 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
• ISSN: 2329-924X; 2373-7476
• DOI: 10.1109/TCSS.2022.3228692

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.