Practical robust localization over obstructed interferences in wireless sensor networks

Abstract

In this paper, we propose a practical and robust localization algorithm over the obstructed interferences in the wireless sensor networks (WSNs). The proposed algorithm uses the Maximum Likelihood Estimation (MLE) method on the position probability grid. In addition, the proposed algorithm detects and compensates the large RSS measurement errors by using the Min-Max algorithm in obstructed environments. Simulation results show that the proposed algorithm takes the advantages of the range-based and the range-free algorithms simultaneously to handle the obstructed interferences in the wireless sensor networks.