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

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 com...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2015-10, Vol.64 (10), p.4887-4893
Main Authors: Wang, Chin-Liang, Wu, Dong-Shing, Chen, Shih-Cheng, Yang, Kai-Jie
Format: Article
Language:English
Subjects:
Accuracy
Decentralized
Decentralized methods
Estimates
Estimation error
Least squares method
Loss measurement
Optimization
Position measurement
Recursive
recursive weighted leastsquares optimization
Reliability
Remote sensors
Sensors
target positioning
Wireless networks
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2014.2369816