中文摘要：

提出了基于随机微粒群优化算法的定位方法。设定网络中存在部分锚节点,且相邻节点之间可以获取距离信息,待定位节点在获取足够的相邻锚节点或已定位节点的距离、位置信息后,使用随机微粒群优化算法实现定位。仿真表明,该方法比多边测量法和基于标准微粒群优化算法的定位方法具有更高的性能。

英文摘要：

A localization method based on stochastic particle swarm optimization is proposed. Suppose there are some anchor nodes in the network, and the distance between adjacent sensor nodes can be measured, so the sensor nodes to be localized utilize stochastic particle swarm optimization to estimate positions after obtaining enough distances and positions of neighboring anchors or localized sensor nodes. Simulation shows that this method outperforms multilateration and localization based on the standard particle swarm optimization.