WSN中基于博弈论的节点功率控制算法

针对如何降低无线传感器网络中节点传输的能量消耗,延长网络生存周期,本文将博弈论引入WSN功率控制中,综合考虑节点的剩余能量、发射功率等因素构建效用函数,将剩余能量较大的节点作为下一跳节点,连接其他节点并承载较多的传输任务.节点在通信过程中以功率博弈算法作为策略方案,不断调整各自的策略,提高信息传输的准确率,并证明该算法纳什均衡的存在.仿真结果表明,与传统分布式功率控制算法相比,该算法通过控制节点传输功率实现了降低能耗的目的,能更快迭代出最优发射功率,并得到较大的信干比.

Based on game theory algorithm in nodes power control of WSN

In this paper, game theory is applied to the WSN power control to reduce the energy consumption of the point transmission and prolong the lifetime of the network. The utility function is constructed by considering the residual energy and the transmitted power of the node. The remaining energy larger node is as the next hop node, which connects other nodes and takes more transmission tasks. In the communication process, the nodes take power control game algorithm as strategy and constantly adjust their strategies to improve the accuracy of information transmission. Nash equilibrium is proved to exist in the algorithm. Simulation results show that this algorithm can realize the purpose of reducing the energy consumption of wireless sensor network through the control of node transmission power, calculating the optimal transmit power faster, and getting the higher signal interference ratio compared with traditional distributed power control algorithm.