摘要
为提高无线传感器网络节点定位精度,提出3种基于距离信息的改进定位算法:改进三边测量法、加权最小二乘估计、抗差最小二乘估计。在一定先验假设情况下,对三边测量法以及由其衍生出最小二乘估计进行改进,并将抗差最小二乘估计方法引入到节点定位计算之中。仿真结果表明:3种算法能够有效减少定位误差。抗差最小二乘估计在系统存在粗差情况下效果尤其显著。当系统对能耗要求严格时,可采用改进三边测量法或加权最小二乘估计替代抗差最小二乘估计。
A three-sided measurement method,a weighted least squares estimation method and a robust least squares estimation method are used to make wireless sensor network node localization more accurate.The three-sided measurement method and the least squares estimation method based on the three-sided method are improved for a specific set of assumptions.A robust least squares estimation method is used to improve node localization.Simulations show that these methods reduce the localization error.The robust least squ...
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2008年第S2期1839-1843,共5页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金资助项目(60674064)
国家科技支撑计划课题(2006BAK01B02)
关键词
无线传感器网络
节点定位
抗差最小二乘估计
基于距离
wireless sensor network
nodes localization
robust least square estimation
range-based