无线传感器网络定位的分布式求精算法

通过对WSN中基于测距的定位进行误差分析提出一种求精算法。该算法每次迭代中首先根据“磁极”思想确定“误差节点”和“有效节点”；然后在误差节点的邻居节点中选择2个相对偏差最小的节点作为圆心，以它们到误差节点的测距值为半径分别作圆，得到两个交点；最后在它的当前定位位置和这2个交点之中选择误差较小的作为本轮的求精位置。仿真结果表明，该算法能够降低多边定位模型产生的节点位置误差，有效提高网络的定位精度。

Distributed refinement algorithm for WSN localization

A distributed refinement algorithm was proposed based on the error analyzing of range-based WSN localization.In each iteration,the proposed algorithm identified “error nodes” and “effective nodes” according to the idea of“magnetic pole”at first; then,it choosed two nodes with the minimum relative deviations in the 1-hop neighbors set of error node,and getted the intersection points of two circles whose centers were the positions of above two nodes and radiuses are the range distances from above two nodes to the error node respectively; at last,it choosed the position with minimum error,from its current position and above two intersection points as refinement position of error node after this iteration.Simulation results show that the proposed algorithm can reduce the localization error of multilateral positioning model and improve the localization accuracy efficiently.