Weighted localization accuracy augmentation for RSSI-based wireless sensor networks using target-to-target measurements

In this paper, we introduced weighted versions of two algorithms, in order to boost the accuracy for the multiple-target location estimation problem. The accuracy of the proposed algorithms was then quantitatively compared against that of the conventional algorithms using numerical simulations, which showed large accuracy improvements, particularly for large amounts of nodes. Finally, we performed an experimental validation of the proposed algorithms and showed how it is possible to reduce the RMSE of the solution in excess of 59% when compared to that of the conventional algorithms, even with as few as 10 target nodes. Further research into this area can focus on modifications to other localization algorithms, additional usage of node weights for parameter tuning, anchor-less localization, chained localization and other applications where the location of multiple target nodes is required.