DocumentCode :
3519977
Title :
Semi-definite programming approach to sensor network node localization with anchor position uncertainty
Author :
Lui, Kenneth W K ; Ma, W.-K. ; So, H.C. ; Chan, Frankie K W
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
2245
Lastpage :
2248
Abstract :
The problem of node localization in a wireless sensor network (WSN) with the use of the incomplete and noisy distance measurements between nodes as well as anchor position information is currently an an important yet challenging research topic. Most WSN localization studies at present have assumed that the anchor positions are perfectly known which is not valid in the underwater and underground scenarios. In this paper, semi-definite programming (SDP) algorithms are devised for finding the localizations of unknown-position nodes in the presence of anchor position uncertainty. Computer simulations are included to contrast the performance of the proposed algorithms with the conventional SDP method and Cramer-Rao lower bound.
Keywords :
distance measurement; mathematical programming; wireless sensor networks; Cramer-Rao lower bound; WSN localization; anchor position uncertainty; distance measurement; semidefinite programming; sensor network node localization; wireless sensor network; Acoustic noise; Acoustic sensors; Communication system control; Distance measurement; Distributed computing; Maximum likelihood estimation; Military computing; Symmetric matrices; Uncertainty; Wireless sensor networks; node localization; range measurements; semi-definite programming; sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960066
Filename :
4960066
Link To Document :
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