基于改进麻雀搜索算法的无线传感器网络定位研究  

Research on Wireless Sensor Network Location Based on Improved Sparrow Search Algorithm

作　　者：张军惺[1] 陈孜迪[1] 谢凤玲[1] ZHANG Junxing;CHEN Zidi;XIE Fengling(Center for Modern Educational Technology,Hebei Sport University,Shijiazhuang Hebei 050041,China)

机构地区：[1]河北体育学院现代教育技术中心,河北石家庄050041

出　　处：《传感技术学报》2024年第3期524-532,共9页Chinese Journal of Sensors and Actuators

基　　金：河北省技术创新引导计划项目(20475701D)。

摘　　要：针对距离矢量跳(DV-Hop)算法在无线传感器网络中存在的定位误差大的问题,提出了一种基于改进麻雀搜索的无线传感器网络定位算法。首先,针对传统DV-Hop算法,修正了节点平均跳距和节点最小跳数。其次,引入Sine混沌映射、自适应惯性权重和双样本学习策略提高算法的搜索能力;最后,利用MATLAB构建仿真模型进行性能对比实验。实验结果表明:与其他节点定位算法相比,所提算法可有效提高对未知节点的定位精度和收敛速度。To solve the problem of large location error of distance vector hop(DV-Hop)algorithm in wireless sensor networks,a location algorithm based on improved sparrow search is proposed.Firstly,aiming at the traditional DV-Hop algorithm,the average hop distance and the minimum hop number of nodes are modified.Secondly,Sine chaotic map,adaptive inertia weight and two sample learning strategy are introduced to improve the searching ability of the algorithm.Finally,MATLAB is used to build a simulation model for performance comparison experiments.The experimental results show that the proposed algorithm can effectively improve the location accuracy and convergence speed of unknown nodes compared with other node location algorithms.

关 键 词：无线传感器网络 节点定位 距离矢量跳 麻雀搜索算法 定位精度 

分 类 号：TN929.5[电子电信—通信与信息系统]