WSN Multilateral Localization Algorithm Based on Tikhonov Regularization Method
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 a is about 600 and the reference node number is 5.
wireless sensor networks localization ill-posed problem regularization
Wang Lei Li Hong ming Du Xiao tong
Department of Measurement and Instrumentation, School of Control Science and Engineering,Shandong Un Department of Measurement and Instrumentation, School of Control Science and Engineering, Shandong U
国际会议
第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology
沈阳
英文
1-10
2008-09-15（万方平台首次上网日期，不代表论文的发表时间）