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 :
بازگشت