摘要
针对基于测距的节点定位算法在非视距环境下定位精度较低的问题,文章从两个方面对其进行改进:将粒子群优化算法应用于节点定位,并对其参数设置和目标函数选取进行了改进;利用NLOS(Non-Line-of-Sight)测距信息对未知节点可能存在区域进行估计,缩小粒子搜索范围。仿真结果表明,在非视距环境下,改进算法的定位精度和稳定性有明显的改善,是一种可行的无线传感器网络节点定位的解决方案。
Two steps are put forward to improve the poor localization performance of the range-based algorithm in the non-line-of-sight （NLOS） environment. Firstly the particle swarm optimization algo- rithm is applied to the node localization with improved parameter setting and enhanced objective function selection. Then the particle searching scope is narrowed by estimating the potential region based on the NLOS ranging information. Simulation results indicate that in the NLOS environment the improved algorithm has obviously better localization precision and stability, which means this al- gorithm offers a feasible node localization scheme for the wireless sensor network （WSN）.
出处
《信息工程大学学报》
2012年第5期573-577,共5页
Journal of Information Engineering University
基金
国家科技重大专项资助项目(2010ZX03006-002)
