Resource Allocation Strategy Based on Game Theory in Mobile Edge Computing

Abstract

The existing research on resource allocation strategies of mobile edge computing mostly focus on delay and energy consumption,but relatively less consideration is given to the benefits of edge servers.When considering the benefits of edge servers,many studies ignore the optimization of delay.Therefore,a two-way update strategy based on game theory(TUSGT) is proposed.TUSGT transforms the task competition between servers into a non-cooperative game problem on the side of edge servers,and adopts a joint optimization strategy based on potential game,which allows every edge server to determine the task selection prefe-rence with the goal of maximizing its own profit.On the side of mobile devices,the EWA algorithm in online learning is used to update the parameters,which affects the task selection preference of the edge servers from a global perspective and improves the overall deadline hit rate.Simulation results show that,compared with BGTA,MILP,greedy strategy,random strategy,and ideal strategy,TUSGT can increase the deadline hit rate by up to 30%,and increase the average profit of edge servers by up to 65%.