基于加权质心算法的无线网络节点定位方法

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.

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

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.