| 无线传感器网络中传感器节点定位的递归加权最小二乘优化方法 |
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| 引用本文： | 塞拉斯,许皓,宋扬,孙华飞.无线传感器网络中传感器节点定位的递归加权最小二乘优化方法[J].北京理工大学学报,2020,40(6):683-686. |
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| 作者姓名： | 塞拉斯 许皓 宋扬 孙华飞 |
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| 作者单位： | 1. 北京理工大学 数学与统计学院, 北京 100081; |
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| 基金项目： | 北京市科委创新资助项目（Z161100005016043） |
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| 摘 要： | 采用最小二乘优化算法,研究了基于接收信号强度测量的信号源定位问题.首先,建立了路径损耗的线性化模型;然后,介绍了加权最小二乘法,并提出了无线传感器网络中传感器节点定位的递归加权最小二乘优化方法.最后将本文提出的迭代加权最小二乘法与基于接收信号强度(RSS)的2种算法进行比较,仿真结果表明提出的算法在定位精度方面有更好的表现.
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| 关 键 词： | 路径损失模型 传感器节点定位 线性最小二乘 递归加权最小二乘 |
| 收稿时间： | 2019/2/18 0:00:00 |
A Recursive Weighted Least Squares Optimization Method for Sensor Nodes Positioning in Wireless Sensor Networks |
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| MIRAU Silas,XU Hao,SONG Yang,SUN Hua-fei.A Recursive Weighted Least Squares Optimization Method for Sensor Nodes Positioning in Wireless Sensor Networks[J].Journal of Beijing Institute of Technology(Natural Science Edition),2020,40(6):683-686. |
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| Authors: | MIRAU Silas XU Hao SONG Yang SUN Hua-fei |
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| Institution: | 1. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China;2. School of Mathematics and Information, China West Normal University, Nanchong, Sichuan 637002, China |
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| Abstract: | To study the signal source location based on received signal strength measurement, a least squares optimization algorithm was proposed. Firstly, a linear model was established to calculate path loss. Then, the weighted least squares method was introduced. And a recursive weighted least squares optimization method was presented for sensor node location in wireless sensor networks. Finally, the algorithm proposed in this paper with the two algorithms based on RSS was compared. The simulation results show that, the iterative weighted least squares method presented can greatly improve the positioning accuracy. |
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| Keywords: | path-loss model sensor node location linear least squares recursive weighted least squares(RWLS) |
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