斯塔克伯格竞赛
计算卸载
计算机科学
纳什均衡
服务器
任务(项目管理)
移动边缘计算
博弈论
最佳反应
GSM演进的增强数据速率
战略
功能(生物学)
边缘计算
序贯博弈
计算
任务分析
潜在博弈
分布式计算
数学优化
计算机网络
人工智能
微观经济学
管理
经济
数理经济学
生物
进化生物学
数学
作者
ZhiYao Sun,Yijun Wang,Guifen Chen,GuoWei Wu
出处
期刊:2021 International Conference on Electronic Information Engineering and Computer Science (EIECS)
日期:2021-09-23
被引量:2
标识
DOI:10.1109/eiecs53707.2021.9588024
摘要
Aiming at the challenge of timely offloading computation intensive task for mobile users in mobile edge computing, a multi-user task offloading strategy based on game theory was proposed. The strategy utilizes the Stackelberg game theory to maintain the dominant game relationship between MEC servers and mobile users, adjusting their respective strategies until their respective utility is maximized. Besides, the optimal utility can be achieved by considering the effect of the full information interaction model on the utility function and performing a fine-grained local offloading of the uninstall task. This research demonstrates that the game exists Nash equilibrium solution, and a dynamic distributed algorithm is proposed to solve it. Simulation results prove that the above strategy can effectively improve the utility mean value.
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