Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32874
Title: Weighted distance based sensor selection for target tracking in wireless sensor networks
Authors: Zhao, W
Han, Y
Wu, H
Zhang, L 
Keywords: Sensor selection
Target tracking
Wireless sensor networks
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE signal processing letters, 2009, v. 16, no. 8, p. 647-650 How to cite?
Journal: IEEE signal processing letters 
Abstract: A novel weighted distance based node selection method for bearings-only sensors in wireless sensor networks (WSN) is proposed. Weighted distance is involved as information utility in sensor management of WSN. Based on the probability distribution function of predicted target state and the bearing error of a sensor itself, the sensor with the minimum weighted distance is activated in the tracking mission. Compared with entropy based method, the proposed method saves much computational cost by avoiding the estimation of the posteriori distribution. Simulation results demonstrated that the proposed method can achieve competitive tracking accuracy comparing to the existing representative methods.
URI: http://hdl.handle.net/10397/32874
ISSN: 1070-9908
EISSN: 1558-2361
DOI: 10.1109/LSP.2009.2022151
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

13
Last Week
0
Last month
0
Citations as of Aug 13, 2017

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Aug 12, 2017

Page view(s)

40
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.