DocumentCode
3299636
Title
Self-localization based on improved subspace approach in wireless sensor network
Author
Hongbo, Liu ; Wei, Zhang
Author_Institution
Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
349
Lastpage
354
Abstract
In this paper, an improved subspace approach based on range measurement is proposed and analyzed. Through the factorization of multidimensional similarity (MDS) matrix, we derive a novel kernel subspace to estimate the coordinate of unknown mobile node in wireless sensor networks (WSN). Simulation results are included to contrast the estimator performance with general subspace method, and the performance analysis is provided.
Keywords
distance measurement; matrix algebra; wireless sensor networks; multidimensional similarity matrix; range measurement; self-localization method; subspace approach; wireless sensor network; Analytical models; Calibration; Iterative algorithms; Iterative methods; Kernel; Multidimensional systems; Nonlinear equations; Performance analysis; Symmetric matrices; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on
Conference_Location
Doha
Print_ISBN
978-1-4244-1967-8
Electronic_ISBN
978-1-4244-1968-5
Type
conf
DOI
10.1109/AICCSA.2008.4493556
Filename
4493556
Link To Document