基于进化多目标合作博弈的体域网通信优化

Communication optimization of body sensor network based on evolutionary multi-objective cooperative game

为解决基于云计算的体域网中,数据量、通信带宽和传感器节点能耗之间的相互冲突问题,提出进化多目标合作博弈解决方案。建立数据量、带宽和传感器节点能耗的博弈模型;构造收益函数进行共谋合作博弈,实现各目标利益的均衡。在设计算法中,引入精英保留机制,提高收敛速度;引入Levy飞行算子,避免陷入局部次优。仿真结果表明,该算法能有效实现上述三者之间的均衡,在收敛速度、解的分布性和多样性方面优于多目标进化算法和非合作博弈方法。

To address the conflitt problem among data yield , bandwidth consumption and energy puting based body sensor networks ＆ a scheme using evolutionary multi-objective cooperative game was proposed. A game modelof data yield , bandwidth consumption and energy consumption was built. The payoff function was coalition cooperative game so as to reach equilibrium of all objects. The elite retention mechanism was adopted to increase conver-gence speed ＆ and the Levy flight was introduced to avoid trapping into locfl optimal. Experiposed algorithm can effectively reach equilibrium of the three targets. Compared with non-cooperative game algorithm , it has better performance in convergence speed ＆ distribution and diversity of solutions.