Enhanced maximum likelihood location estimation in wireless sensor networks

This paper develops the enhanced maximum likelihood (ML) estimation approaches for localization over the wireless senor networks. These new ML-based schemes innovatively take into consideration the probability distribution of the received signal strength of the detectable anchor nodes. Simulation results demonstrate that the proposed approaches significantly improve the estimation accuracy as compared to the existing localization methods. Moreover, these new schemes are generic and suitable for the random deployment of the wireless sensor nodes.