基于博弈论的无线传感网能量均衡模型

提出一种基于贝叶斯博弈的无线传感网能量均衡算法，该算法将每次数据转发过程分解为两个阶段的博弈。第一阶段博弈是指节点结合自身能量水平及参与博弈其他节点的战略，构造静态贝叶斯博弈模型，以最优化期望收益函数的解作为节点参与路由转发数据包的最优决策概率；第二阶段博弈是指源节点与邻居节点根据能量水平及相互战略，构造博弈模型，根据最大化期望收益函数的解，决定双方在博弈阶段的最优转发包数量。仿真实验结果表明，本文提出的算法能够有效地均衡网络的能量消耗，延长网络的生存时间。

Game Theory-Based Energy Balance Algorithm for Wireless Sensor Network

This paper presents a novel energy balance algorithm based on Bayesian Game for wireless sensor network, which divides each data forwarding process into two game phases. In the first stage of the game, a node constructs a static Bayesian game model according to its own energy levels and strategies of other nodes involved in the game. Then the node takes the solution of the optimized expected revenue function as the routing and forwarding packets optimal decision probability. In the second game stage, the source node and the neighbor nodes build game model according to the energy level and the mutual strategies and the optimal he number of packets transmitted.