| 一种降低NLOS误差影响的节点定位算法 |
| |
| 引用本文： | 鲁旭阳,张效义,刘广怡,张瑞琴.一种降低NLOS误差影响的节点定位算法[J].信息工程大学学报,2012,13(5):573-577. |
| |
| 作者姓名： | 鲁旭阳 张效义 刘广怡 张瑞琴 |
| |
| 作者单位： | 信息工程大学信息系统工程学院,河南郑州450002 |
| |
| 基金项目： | 国家科技重大专项资助项目（2010ZX03006-002） |
| |
| 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。
|
| 关 键 词： | 无线传感器网络 粒子群优化 NLOS误差 节点定位 |
Node Localization Algorithm with Reduced NLOS Error Influence |
| |
| LU Xu yang,ZHANG Xiao yi,LIU Guang yi,ZHANG Rui qin.Node Localization Algorithm with Reduced NLOS Error Influence[J].Journal of Information Engineering University,2012,13(5):573-577. |
| |
| Authors: | LU Xu yang ZHANG Xiao yi LIU Guang yi ZHANG Rui qin |
| |
| Affiliation: | (Institute of Information Systems Engineering, Information Engineering University, Zhengzhou 450002, China) |
| |
| Abstract: | 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）. |
| |
| Keywords: | WSN particle swarm optimization NLOS error node localization |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《信息工程大学学报》浏览原始摘要信息 |
|
点击此处可从《信息工程大学学报》下载全文 |
