基于改进花授粉算法的RSSI定位方法  

RSSI positioning method based on improved flower pollination algorithm

作　　者：刘国繁[1] 肖勇 LIU Guofan;XIAO Yong(School of Electrical Information, Hunan Institute of Engineering,Xiangtan 411104,China;College of Information Engineering,Xiangtan University,Xiangtan 411105,China)

机构地区：[1]湖南工程学院电气信息学院,湖南湘潭411104 [2]湘潭大学信息工程学院,湖南湘潭411105

出　　处：《传感器与微系统》2019年第11期42-45,共4页Transducer and Microsystem Technologies

基　　金：广东省普及型高性能计算机重点实验室开放资助项目(SZU—GDPHPCL201303);湖南省科技计划资助项目(2012SK3173)

摘　　要：针对接收信号强度指示(RSSI)定位算法中采用最小二乘法计算未知节点位置时其定位精度受测距误差影响较大、花授粉算法易陷入局部最优等问题,提出了一种基于改进花授粉算法的RSSI定位方法。从花粉步长权重、局部变异方面对花授粉算法进行改进,采用改进花授粉算法进行未知节点位置估算。仿真结果表明:本文算法的定位精度高,稳定性好,适用于定位精度和稳定性要求较高的场景。Aiming at the problem that in received signal strength indication(RSSI)positioning algorithms using the least squares method to calculate the coordinates of unknown nodes,the ranging error affects the fluctuation of positioning precision,flower pollination algorithm is prone to fall into local optimum,propose a RSSI localization algorithm based on improved flower pollination algorithm.Firstly,the flower pollination algorithm is improved from the pollen step weight and local variation.The improved pollination algorithm is then used to estimate the unknown node position.The simulation result shows that the proposed algorithm has higher positioning precision and better stability,suitable for scenes with high positioning precision and stability requirements.

关 键 词：无线传感器网络(WSNs) 花授粉算法 最小二乘法 接收信号强度指示(RSSI) 测距误差 

分 类 号：TP393.03[自动化与计算机技术—计算机应用技术]