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Proceedings Paper

WSN multilateral localization algorithm based on Tikhonov regularization method
Author(s): Lei Wang; Hong-ming Li; Xiao-tong Du
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Paper Abstract

In wireless sensor network (WSN) applications, node localization for complex system monitoring is a key problem to be resolved. A new localization algorithm Based on Tikhonov regularization method is proposed for the ill-posed multilateral localization problem, which includes building location model, selecting regularization parameter and optimizing reference node number. In this algorithm, through converting ill-posed multilateral localization problem into norm minimization problem, a feasible regularization matrix can be constructed and regularization parameter for different situations can be determined using Morozov discrepancy criterion. The validity of the newly proposed method is verified through experiments. Test results show that the location precision of the proposed algorithm is better than that of the Maximum Likelihood Estimation (MLE) method, and the measurement error is about 1 meter while regularization parameter &agr; is about 600 and the reference node number is 5.

Paper Details

Date Published: 12 January 2009
PDF: 10 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71331M (12 January 2009); doi: 10.1117/12.810238
Show Author Affiliations
Lei Wang, Shandong Univ. (China)
Hong-ming Li, Shandong Univ. (China)
Xiao-tong Du, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

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