A weighted centroid localization algorithm for wireless sensor networks based on weight correction

Abstract

In wireless sensor networks, one of the core problems is the realization of positioning. In order to solve the issue of traditional centroid localization algorithm's localization accuracy, a weighted centroid of mass algorithm based on weight correction is proposed in this paper. Firstly, this improved algorithm converts the RSSI data received by unknown nodes into distance, then calculate the negative square of distance ratio as a mend weight. Finally, use the modified weight to further improving the positioning precision. The simulation results indicate that the proposed weighted centroid algorithm can greatly improve the accuracy of positioning and reduce the error of positioning.