A new positioning technique for RSS-Based localization based on a weighted least squares estimator

In this paper we propose the use of a weighted least squares estimator to calculate the position of a mobile node in RSS-based localization systems for ad hoc networks. This technique outperforms the traditional positioning algorithms in terms of localization accuracy and robustness to inaccuracy in the channel model. The performance of the method is shown both through numerical simulations and through some experiments with real data for a wireless sensor network and a WiFi network.