无线传感器网络的分区域质心定位算法

针对无线传感器网络（WSNs）质心定位算法定位精度较低和一般的改进型质心算法计算复杂及数据通信量大的问题,提出一种新的质心定位算法——分区域质心定位（RPCL）算法.该算法将包围未知节点邻居锚节点组成的三角形划分为7个区域,每个区域的确定1个质心作为未知节点的估计位置.仿真结果表明：RPCL算法的平均定位误差比一般的质心定位算法减小20％以上;参数优化后,误差减少到49％左右.

Region partition centroid localization algorithm for WSNs

Aiming at problem of low localization precision of centroid localization algorithm for WSNs, complex calculations and large amount of data communication of general improved centroid algorithm, present a new centroid localization algorithm, region partition centroid localization （RPCL） algorithm. In RPCL, three anchors which near the unknown node enclose a triangle, divides the triangle to seven regions, the centroid of every region as the estimated location of unknown node. Simulation results show that RPCL outperforms centroid localization algorithm by an average less than 20 % in average localization error; the error is reduced to about 49 % after parameter optimizing.