A Decentralized Positioning Scheme Based on Recursive Weighted Least Squares Optimization for Wireless Sensor Networks

Author

Chin-Liang Wang ; Dong-Shing Wu ; Shih-Cheng Chen ; Kai-Jie Yang

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

64

Issue

10

fYear

2015

Firstpage

4887

Lastpage

4893

Abstract

This paper presents a new positioning scheme based on recursive weighted least squares (RWLS) optimization for wireless sensor networks. The proposed scheme is derived from minimizing a recursive-in-time cost function and then realized in an iterative decentralized manner. The target location is computed iteratively by taking a weighted average of the local estimates according to the reliability information, where a sensor computes a new estimate based on its own observation and the previous sensor´s estimate. Computer simulation results demonstrate that the proposed scheme has better positioning accuracy than previous related methods.

Keywords

iterative methods; minimisation; recursive estimation; telecommunication network reliability; wireless sensor networks; RWLS optimization; computer simulation; decentralized positioning scheme; iterative decentralized manner; recursive weighted least squares optimization; recursive-in-time cost function minimization; reliability information; wireless sensor networks; Accuracy; Estimation error; Loss measurement; Optimization; Position measurement; Reliability; Wireless sensor networks; Decentralized methods; recursive weighted least squares (RWLS) optimization; recursive weighted leastsquares optimization; target positioning; wireless sensor networks;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2014.2369816

Filename

6954567