Abstract: Aiming at  the influence of distance error on the location results, we proposed a location algorithm based on Gaussian mixture model  (GMM) in wireless sensor network (WSN). In this algorithm, the GMM  method was introduced into the location problem of WSN. The  distance information with large error was found by using the analysis of GMM and eliminated. The remaining distance information was solved by  trilateral measurement location method, and the position was  estimated combined with wighted location algorithm. Simulation results show  that the improved  algorithm can improve positioning accuracy and the positioning  results are  more stable.

Key words: Gaussian mixture model (GMM), wireless sensor networks (WSNs), location