Node Position Predicting in ZigBee Wireless Networks by using BP Neutral Networks

摘要

In order to solve the short-distance location problem, a new locating method is proposed which applies BP neural networks algorithm and the value of RSSI in ZigBee wireless networks. In this method, an experimental place is built up with a limited number of reference nodes, and the BP neutral networks model is trained by a certain number of RSSI-coordinate data sets as the sample data. The accomplished model can be used to predict the location of unknown nodes. The experiment results show that the proposed method has better performance of locating.