An adaptive environmental modeling localization method in Wireless Sensor Networks

This paper presents a new localization algorithm in Wireless Sensor Networks. The RSSI (Received Signal Strength Indicator) is a localization method which provides an inexpensive and accurate solution for localization. However the time and location based fluctuations on the RSSI values and improper models cause a considerable localization error in the real applications. Most of the RSSI models suppose the radio range to be circular. In the proposed method the algorithm tries to find a relation between RSSI and distance for each anchor node in each direction adaptively and produce a noncircular model. The simulation results show that this method can reduce amount of the localization error considerably. Also unlike to the range free methods the proposed method can work properly in the low node densities.