A recursive weighted least squares optimization algorithm based on RSS in wireless sensor networks

The localization of a sensor in wireless sensor network has now gained considerable attention. To study node localization based on received signal strength (RSS), a least squares optimization algorithm was proposed. Firstly, a linear model was established to calculate path loss. Then a recursive weighted least squares optimization method was presented for sensor node localization. Finally, we compared the algorithm proposed in this paper with the two other algorithms based on RSS. The simulation results showed that our proposed method has a better performance. The proposed RWLS algorithm performs better than all of the other algorithms in terms of RMSE vs number of anchor nodes.