移动边缘计算下基于斯坦伯格博弈的资源分配策略研究  

RESOURCE ALLOCATION STRATEGY BASED ON STACKELBERG GAME IN MOBILE EDGE COMPUTING

作　　者：吴碧莲 陈昕[1] 殷波 Wu Bilian;Chen Xin;Yin Bo(School of Computer Science,Beijing Information Science and Technology University,Beijing 100101,China)

机构地区：[1]北京信息科技大学计算机学院,北京100101

出　　处：《计算机应用与软件》2025年第2期136-143,共8页Computer Applications and Software

基　　金：国家自然科学基金项目(61872044)。

摘　　要：针对移动边缘计算(Mobile Edge Computing,MEC)中物联网设备间的资源竞争问题,提出一种基于斯坦伯格博弈的资源分配策略。在边缘服务器和物联网设备组成的MEC系统架构下,考虑信道条件和设备竞争的影响,以最大化参与者效用为目标,建立通信计算模型,运用最佳响应算法及最优定价算法得到最优的资源分配策略和定价策略,并采用博弈论方法证明纳什均衡的存在性和唯一性。仿真实验表明,所提算法具有良好的收敛性,在不同环境下的表现均优于所对比算法,证明了所提算法的有效性和可靠性。Aiming at the problem of resource competition among internet of things(IoT)devices in mobile edge computing(MEC),this paper proposes a resource allocation strategy based on Stackelberg game.Under the MEC system architecture composed of edge server and internet of things devices,this paper established a communication computing model to maximize the utility of participants,while considering the influence of channel conditions and devices competition.This model used the best response algorithm and the optimal pricing algorithm to get the optimal resource allocation strategy and pricing strategy,and proved the existence and uniqueness of Nash equilibrium by the game theory method.Simulation experiments show that the proposed algorithms have good convergence and perform better than the compared algorithms in different environments,which proves the effectiveness and reliability of the proposed algorithms.

关 键 词：移动边缘计算 资源分配 博弈论 纳什均衡 定价 物联网 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]