基于神经网络的无线传感器网络能量测距模型

Ranging is one hot technology of Wireless Sensor Network (WSNs). And Signal Strength Ranging (SSR) is a new direction of Ranging of WSNs. The existent classical SSR model is not exact and steady enough. This paper presents a new SSR model based on Artificial Neural Network (ANN). We do the ranging experiment with ranging platform based on ZigBee, and then train the ANN model with the measure data. The non-linear mapping ability and self-adaptive character of ANN make the ANN model better for ranging. The experiment indicates that the ANN model is more exact and steady than classical model.