为了进一步提高无线传感器网络未知节点定位精度,将节点定位问题和微粒群算法结合在一起,提出了基于微粒群算法的节点定位算法。该算法是一种基于距离的定位算法,根据未知节点到锚节点的距离直接搜索出未知节点的坐标。实验结果表明,和一般的固定节点定位算法相比,该算法具有更高的定位精度,并适用于移动节点的追踪定位。 In order to further improve the positioning accuracy of unknown nodes in WSN, node localization and particle swarm optimization are combined together to propose a node localization algorithm based on Particle Swarm Optimization (PSO). The algorithm is a distance-based localization algorithm, which directly searches for the coordinates of unknown nodes according to the distance from unknown nodes to anchor nodes. Experimental results show that the proposed algorithm has higher positioning accuracy than the conventional fixed node localization algorithm and is suitable for tracking and locating mobile nodes.