面向输变电场景的基于SSA的WSN分簇路由算法  

SSA-based WSN clustering routing algorithm for power transmission and substation scenarios

作　　者：刘天凯 刘洪[1] 郑敏[1] 谭冲[1] LIU Tiankai;LIU Hong;ZHENG Min;TAN Chong(Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Science,Shanghai 200050,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院上海微系统与信息技术研究所,上海200050 [2]中国科学院大学,北京100049

出　　处：《中国科学院大学学报（中英文）》2023年第1期119-127,共9页Journal of University of Chinese Academy of Sciences

基　　金：国家重点研发计划(2020YFB2103301)资助。

摘　　要：针对部分输变电场景传感器众多、不具有组网能力的特点,提出采用计算能力高的中继节点收集传感器信息,并对中继节点进行组网的解决方案。根据方案,提出一种轮换中继节点网络的根节点-无线网关节点的分簇路由算法(LEACH-WGR-SSA),并且引入麻雀搜索智能算法(SSA),对节点网络中的簇首选举进行优化,并加入Levy飞行策略避免算法陷入局部最优。对于无线网关节点和网络簇首的选举均考虑了节点剩余能量、邻接节点的个数和位置信息。仿真实验表明,在50%节点死亡时,LEACH-WGR-SSA的网络生存轮数相较于LEACH、LEACH-WGR、LEACH-WGR-PSO分别延长121.6%、64.1%、6.5%,均衡了能耗,延长了网络生存周期,并有效地提高了寻优精度。In view of the large number of sensors and the lack of networking capability on some power transmission and substation scenarios,a solution for using the relay nodes with high computing power to collect sensor information and networking is proposed.According to this solution,a clustering routing protocol algorithm(LEACH-WGR-SSA)that rotates the root node of the relay nodes-wireless gateway is proposed.The sparrow search algorithm is used to optimize cluster head election,which considers the remaining energy of nodes,the number of adjacent and location information for the election of the wireless gateway and cluster heads and joins the Levy flight strategy to avoid the algorithm falling into the local optimum.Simulation results shows that when 50%of the nodes die,the number of network survival rounds of LEACH-WGR-SSA is increased by 121.6%,64.1%,and 6.5%compared with LEACH,LEACH-WGR,and LEACH-WGR-PSO,which balances energy consumption,prolongs the network life and improves optimization accuracy.

关 键 词：输变电场景 无线网关节点轮换 麻雀搜索 分簇路由 

分 类 号：TN929.5[电子电信—通信与信息系统]