无线传感网络功控算法的收敛性及公平性

Convergence and fairness of power control algorithm for wireless sensor networks

为了解决无线传感器网络设计的"节能"问题,提出基于博弈论的功率控制机制以较好地降低网络能耗.对无线传感器网络的能耗限制问题做了理论分析,通过对无线传感器网络和博弈的映射分析,研究了基于博弈论的分布式自适应功率控制算法.OPNET仿真结果表明:该算法能降低能耗,减少引入的网络开销,增加网络寿命.该算法采用优化动态反应来更新发射功率等级就能收敛到纳斯均衡,保证网络的公平性.

To solve the problem of energy saving in the design of wireless sensor networks （ WSN）, this paper proposes a power control mechanism based on game theory to reduce power consumption of the whole network. The issue of restrictive energy in WSN was abstractly analyzed. and then the distributed self-adaptive power control algorithm based on game theory was studied through analyses of the mapping between WSN and the game. The results of OPNET simulations show that this algorithm can reduce power consumption, decrease overhead and increase network lifetime. Thus this algorithm can converge to a Nash Equilibrium when decisions are updated according to a better dynamic response and ensure nice fairness for network.