支撑配电网监测的无线传感网自适应中继选择

WSN Self-Adaptive Relay Selection for Distribution Grid Monitoring

为了研究无线传感网中继选择问题从而提升配电网监测水平,依据现有的ε-greedy方法,提出基于自适应ε-greedy算法的配电网监测无线传感网中继选择优化方法。首先,考虑配电网复杂拓扑与强电磁干扰的应用场景,构建配电网无线传感网通信系统模型;其次,构建支撑配电网监测的无线传感网动态中继选择问题;接着,利用历史中继选择的累计奖赏值自适应调节行为策略的探索力度,在保障可靠性约束下最小化网络能耗;最后,通过仿真验证所提算法的优化性能,仿真结果表明与递减ε-greedy算法、传统ε-greedy算法及最短路径法相比,所提算法能够分别降低能耗8.23%、12.85%和17.11%。

To research the relay selection of wireless sensor network(WSN)to improve the monitoring level of distribution network,a self-adaptiveε-greedy algorithm-based WSN relay selection optimization method is proposed according to the existingε-greedy method.Firstly,considering the complex topology of distribution network and the application scenarios of strong electromagnetic interference,this paper modelled a WSN communication system model.Secondly,the dynamic relay selection problem of WSN supporting distribution network monitoring is constructed.Then,adopting the accumulated reward value of the historical strategies to adaptively adjust the exploration intensity to minimize network energy consumption and ensure reliable data transmission.Finally,the simulation results show that compared with the descendingε-greedy algorithm,the traditionalε-greedy algorithm and the shortest path method,the proposed algorithm can reduce energy consumption by 8.23%,12.85%and 17.11%,respectively.