网格优化与模糊逻辑结合的WSNs路由算法  

Grid optimization combining fuzzy logic routing protocol for wireless sensor networks

作　　者：方旺盛[1] 万良香 王振东 FANG Wang-sheng;WAN Liang-xiang;WANG Zhen-dong(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学信息工程学院,江西赣州341000

出　　处：《计算机工程与设计》2022年第7期1839-1847,共9页Computer Engineering and Design

基　　金：国家自然科学基金项目(62062037)。

摘　　要：为改善无线传感器网络中簇群成员分布及簇头选取质量,提出网格优化与模糊逻辑相结合的无线传感器网络路由算法。通过对网络区域划分为K个面积大小相同的网格,确定网格重心为初始中心点;根据节点距离划分出K个网络初始簇群,簇群重心随着加入的节点变化,簇群随之改变,直至簇群成员不再有新成员加入形成最终簇群。簇头节点选取利用模糊推理模型,以节点剩余能量率、节点距离率、节点中心率为输入,选出质量更优簇头。实验结果表明,簇群分布及成员数分布均得到明显改善,网络生命周期延长效果明显。To improve the distribution of cluster members and the selection quality of cluster heads in wireless sensor networks,a grid optimization combining fuzzy logic routing protocol for wireless sensor networks was proposed.The network area was divided into K grids of the same size,and the gravity of the grid was determined as the center point.K initial network clusters were divided according to the node distance.The center of gravity of the cluster changed with the added nodes.The cluster changed with the gravity of added nodes,until the cluster members no longer had new members to join,the final cluster was formed.The selection of cluster head nodes used a fuzzy inference model,taking node energy rate,distance rate,and node center rate as inputs to select cluster heads with better quality.Experimental results show that the distribution of clusters and the number of members are significantly improved,and the network life extension effect is obvious.

关 键 词：网格优化成簇 模糊推理系统 非均匀分簇 能量均衡 无线传感器网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]