WSN multilateral localization algorithm based on Tikhonov regularization method

Lei Wang; Hong-ming Li; Xiao-tong Du

doi:10.1117/12.810238

12 January 2009 WSN multilateral localization algorithm based on Tikhonov regularization method

Lei Wang, Hong-ming Li, Xiao-tong Du

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 71331M (2009) https://doi.org/10.1117/12.810238
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

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.

Citation Download Citation

Lei Wang, Hong-ming Li, and Xiao-tong Du "WSN multilateral localization algorithm based on Tikhonov regularization method", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71331M (12 January 2009); https://doi.org/10.1117/12.810238

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