DocumentCode :
2811349
Title :
Ranging energy optimization for robust sensor positioning with collaborative anchors
Author :
Wang, Tao ; Leus, Geert
Author_Institution :
Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
2714
Lastpage :
2717
Abstract :
We propose a sensor positioning scheme for a wireless sensor network consisting of beacons as well as collaborative anchors (CA) to help sensors within a prescribed service area to locate themselves. We assume a robust performance is achieved in the sense that a prescribed location accuracy requirement is fulfilled within the service area. Under the assumption that the time-of-arrival and location estimators adopted achieve the associated Cramér-Rao bound, the performance of the location scheme is derived and analyzed. A ranging energy optimization problem is proposed, and a practical algorithm is presented. The effectiveness of this algorithm is illustrated by numerical experiments.
Keywords :
anchors; mobile computing; optimisation; time-of-arrival estimation; wireless sensor networks; Cramer-Rao bound; collaborative anchors; location estimation; ranging energy optimization; robust sensor positioning; time-of-arrival estimation; wireless sensor network; Central Processing Unit; Collaboration; Content addressable storage; Global Positioning System; Position measurement; Robustness; Sensor fusion; Sensor systems; Tin; Wireless sensor networks; Cramér-Rao bound; Wireless sensor network; localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5496227
Filename :
5496227
Link To Document :
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