A new WSN localization algorithm based on regularization method

Node localization is a key problem of wireless sensor network (WSN) to complex monitoring and tracking in wide applications. The distance measurement errors lead the localization to an ill-posed problem which means that the localization solution is not unique that is one of the three ill-posed problem terms. In this paper, based on Tikhonov regularization method, a new localization algorithm is proposed for the ill-posed problem in the localization, which includes location model building, and regularization parameter selecting. 2-dimensioned and 3-dimensioned localization 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 errors are about 1 meter while regularization parameter α is about 55.