Efficient Localization for Wireless Sensor Networks Using Power Measurements Sampling

In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sensor node. We also show how to use this probabilistic model to efficiently compute a good estimation of the position of the sensor node by sampling multiple readings from the beacons. The results of the simulation of our method in TOSSIM indicate that it is competitive with previous approaches.