基于BP神经网络的无线传感器网络非均匀分簇路由协议  

An uneven clustering routing protocol for WSNs based on BP neural network

作　　者：吴子敬 WU Zi-jing(School of Computer and Control Engineering,Qiqihar University,Heilongjiang Qiqihar 161006,China)

机构地区：[1]齐齐哈尔大学计算机与控制工程学院,黑龙江齐齐哈尔161006

出　　处：《齐齐哈尔大学学报（自然科学版）》2022年第4期8-13,共6页Journal of Qiqihar University(Natural Science Edition)

摘　　要：针对现有无线传感器网络节点负载不均问题,提出了一种基于BP神经网络的无线传器网络非均匀分簇路由协议。通过引入竞争半径函数,完成节点入簇,并在簇间数据传输阶段构造出一棵使整个网络传输代价最小的路由树,选出最优传输路由。仿真结果表明,有效平衡了节点能耗,延长了网络的存活时间。To solve the problem of uneven load in existing wireless sensor networks,an uneven clustering routing for wireless sensor networks based on BP neural network was proposed.By introducing the competition radius function,nodes are added into clusters,and a route with the lowest transmission cost is constructed in the data transmission stage between clusters Tree to select the optimal transport route.The simulation results show that the energy consumption of nodes is effectively balanced and the survival time of the network is prolonged.

关 键 词：无线传感器网络 BP神经网络 非均匀分簇 最小路由树 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]