基于加权质心算法的无线网络节点定位方法  

Node localization method for wireless sensor network based on weighted-centroid-algorithm

作　　者：张维[1,2] 赵亮[3] ZHANG Wei;ZHAO Liang(School of Environment Science and Spatial Informatics,China University of Mining Technology,Xuzhou 221116,China;Institute of Building Intelligence,Jiangsu Vocational Institute of Architectural Technology,Xuzhou 221000,China;School of Information and Electronics Engineering,Jiangsu Vocational Institute of Architectural Technology,Xuzhou 221000,China)

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221116 [2]江苏建筑职业技术学院建筑智能学院,江苏徐州221000 [3]江苏建筑职业技术学院信电工程学院,江苏徐州221000

出　　处：《沈阳工业大学学报》2020年第5期545-548,共4页Journal of Shenyang University of Technology

基　　金：江苏省建设系统科技项目(2018ZD328,2017ZD222);江苏省住房与城乡建设厅科技项目(2018ZD295);徐州市科技计划项目(KC19198).

摘　　要：为了提高无线传感器网络节点定位技术准确性,提出了改进的加权质心算法节点定位方法,以常态方程代入解得坐标后的误差倒数作为权值,并利用权值差别处理具有不同定位误差的不同定位结果,较小误差的倒数对应较大的权值,较大误差的倒数对应较小的权值,来提高定位准确性.通过对传统质心算法和改进加权质心算法进行MATLAB仿真,估测出定位节点的位置坐标.仿真结果表明,改进加权质心算法相较传统质心算法具有定位精度高、用时少等优势.In order to improve the accuracy of node localization technology for wireless sensor network(WSN),an improved node localization method based on weighted-centroid-algorithm was proposed.The reciprocals of errors after coordinate solution by the substitution of normal equation were taken as weights,and different localization results with varying localization errors were processed by the weights,respectively.The reciprocal of smaller error corresponded to larger weight,while the reciprocal of larger error corresponded to smaller weight,so as to improve localization accuracy.Through the MATLAB simulation of both traditional centroid algorithm and improved weighted-centroid-algorithm,the location coordinates of localization nodes were estimated.The simulation results show that the improved weighted-centroid-algorithm has the advantages of higher localization accuracy and lower time consumption compared with traditional centroid algorithms.

关 键 词：无线传感器网络 加权质心算法 常态方程 误差倒数 节点定位 准确性 权值 MATLAB仿真 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]