摘要
针对现有的测距技术准确性易受环境噪声影响的特点,在多维标度(MDS)分析法的基础上,结合加权最小二乘(WLS)法,加以改进,提出一种基于接收信号强度(RSS)的协作式定位算法—WLS—MDS。仿真实验结果表明:与MDS以及线性最小二乘(LLS)定位算法相比,所提算法在环境噪声干扰严重以及锚节点数目受限的极端条件下,仍然能够达到较为理想的定位精度,更加适合应用于实际的大规模无线传感器网络(WSNs)。
Aiming at the problem that accuracy of existing ranging technology is susceptible to environmental noise, on the basis of muhidimensional scaling(MDS) is developed analysis method, combine with the methodology of weighted least squares, and improve it, propose a cooperative,localization algorithm named WLS-MDS, based on received signal strength(RSS). The result of simulation demonstrates that the proposed algorithm can achieve an ideal positioning position in extreme situation such as environmental noise interference and a minority of anchors node. The proposed algorithm outperforms MDS as well as LLS, which makes it more suitable for large-scale wireless sensor networks(WSNs).
作者
马永光
王朔
邢建
石乐
MA Yong-guang;WANG Shuo;XING Jian;SHI Le(School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)
出处
《传感器与微系统》
CSCD
2018年第8期150-153,共4页
Transducer and Microsystem Technologies
关键词
无线传感器网络
定位
接收信号强度
多维标度
加权最小二乘
wireless sensor networks (WSNs)
localization
received signal strength (RSS)
multidimensionalscaling(MDS)
weighted least square(WLS)