Accurate path-loss exponent correcting location method

A lot of studies have been done in Received Signal Strength Indication (RSSI) based indoor location for wireless sensor network, and most of them assume that the Path-Loss Exponent (PLE) is a fixed value already known or can be measured by experiment. However, PLE is usually not a fixed value. Analysis and simulation indicate that the PLE has much effect on the distance estimation error under the commonly used log-normal shadowing model. Based on the existing positioning algorithm, we proposed a method dynamically correcting the value of PLE, using the environmental information of reference node. Finally, experiments have been implemented, and results show that the improved algorithm has higher positioning accuracy and good environmental adaptability.