无线传感器网络加权质心定位算法研究

Research on Weighted Centroid Location Algorithm for Wireless Sensor Network

针对距离权重的改进质心定位精度受所选反演模型影响,并且正确距离反演模型不容易确定的问题,提出了采用接收信号强度的改进质心定位算法,可将接收信号强度(RSS)作为质心定位算法的权重,直接将权重代入到质心定位算法从而估算出未知节点坐标,取消了距离反演过程,避免了反演误差的引入,提高了算法的定位精度、鲁棒性和实用性,同时还降低了计算复杂度。通过MATLAB平台进行仿真分析得出,改进算法定位性能优于距离权重的改进质心定位算法,符合无线传感器网络定位需求,具有较好的应用价值。

As the positioning precision of the improved weighted centroid location algorithm based on the distance is affected by the selected inversion model and the correct inversion model of distance is not easy to be found, an improved weighted eentroid location algorithm based on the received signal strength was introduced in the paper. The received signal strength （RSS） is regarded as the weight of the improved centroid location algorithm. As the inversion process of the distance was cancelled and the inversion errors were avoided, the positioning precision, robustness and availability of the algorithm was improved. At the same time, the computational complexity was reduced. The algorithm simulation results based on MATLAB show that the performance of the improved algorithm is superior to that of the improved weighted centroid location algorithm based on the distance. The improved algorithm can meet the location demands of the wireless sensor network and has good application value.