College of Vocation, Inner Mongolia University of Finance and Economics, Hohhot 010010, China;School of Software Technology, Dalian University of Technology, Dalian 116620, China 在期刊界中查找 在百度中查找 在本站中查找
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.
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