Performance of an MMSE based indoor localization with wireless sensor networks

This paper investigates the indoor localization based on minimum mean square error (MMSE) estimation for wireless sensor networks (WSN). With three received signal strength (RSS) of the unknown node, a trilateral localization is performed to position its coordinates. However, the mean square error (MSE) of localization is deteriorated by the shadowing effect and the MSE depends on the location of reference nodes. Therefore, in this paper, we investigate the effect of the location of reference nodes and the shadowing effect on localization MSE. Simulation results show that the distance variance of distances between reference nodes and unknown node increases the MSE of localization.