A Distributed Localization Algorithm for Wireless Sensor Networks Based on Robust Statistic

Abstract

This research presents a distributed and low-complexity algorithm for range-based localization in wireless sensor networks (WSNs). The proposed method uses robust functions suitable to avoid outliers derived from corrupted estimated distances among sensor nodes, under the RSSI technique. The accuracy of the proposed algorithm was tested using noisy distance measurements between sensor nodes, deployed arbitrarily on a 2-D area of 100 m x 100 m. Results show a good accuracy performance on position estimates when it is compared with others state of the art algorithms.