Abstract

An iterative localization approach with Maximum Likelihood (ML) estimation is designed to locate all localizable nodes in wireless sensor networks. Then cooperative localization refines the positions of localized nodes and improves the localization accuracy. The simulations show that proposed cooperative refinement can achieve the CRLBs of node positions and the performances of cooperative refinement are better than the results without refinement.

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