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针对基于无线传感器网络的智能电网数据采集系统,提出了一种新的分布式功率联合速率分配方案,在满足节点功率和数据收集速率的限制条件下,能够最大程度地提高传感节点到数据收集节点(Sink节点)系统容量和能量耗费的比值,从而达到以更低的能耗提供更高速率的目的.构建了传感节点间功率分配的完全信息静态非合作博弈模型,证明了相应模型纳什均衡点的存在性,并提出了一种迭代式的资源分配算法,通过不断迭代传感节点在子载波上的功率来优化系统能效.仿真结果表明了该系统模型纳什均衡点的存在性并且说明了该算法收敛于纳什均衡点.
Aiming at the smart grid data acquisition system based on wireless sensor network, a new distributed power rate allocation scheme is proposed, which can maximize the sensing node to data collection under the limit of node power and data collection rate Node (Sink node) ratio of system capacity and energy consumption, so as to achieve a lower energy consumption to provide a higher rate.The purpose of this paper is to establish a complete informational static noncooperative game model of power distribution among sensor nodes, and to prove that the corresponding model Nash And presents an iterative resource allocation algorithm that optimizes system energy efficiency by iteratively iterating on the power of the sensor nodes on the subcarriers.The simulation results show the existence of the Nash equilibrium point of the system model The algorithm converges to Nash equilibrium.