Title :
Optimization of least-squares localization algorithm in WSN
Author :
Zhang Yu-ting ; Tan Zhi
Author_Institution :
Electron. & Inf. Eng., Beijing Univ. of Civil Eng. & Archit., Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
Network node positioning technology is one of the important supporting technologies in the practical application of wireless sensor. In order to overcome the measurement error of the least squares method for wireless sensor networks (WSNs) node affect their positioning accuracy, an improved positioning algorithm least squares(LS) is proposed. In order to obtain the optimal reference node, the algorithm based on the conventional least squares location algorithm to correct bad nodes. The simulation results show that the algorithm can effectively filter large node localization errors. The positioning accuracy is significantly improved.
Keywords :
least squares approximations; optimisation; wireless sensor networks; WSN node; filter large node localization errors; least squares location algorithm; least squares method; least-squares localization algorithm; measurement error; network node positioning technology; optimal reference node; optimization; positioning algorithm least squares; wireless sensor; wireless sensor networks; Accuracy; Distance measurement; Equations; Mathematical model; Optimization; Wireless communication; Wireless sensor networks; Anchor node optimization; Least-Squares; Median; RSSI;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852533
