基于Elman神经网络的无线传感器网络测距模型

An Elman neural networks based ranging model for wireless sensor networks

以无线传感器网络为研究对象,在无线传感器网络覆盖范围内的不同距离内采集信号强度值,利用Elman神经网络建立信号强度值与距离之间的映射关系,将采集到的信号强度作为模型的输入进行训练,利用训练好的网络模型进行测距,结果表明具有良好的网络测距性能。

We collect the received signal strength values of a node at different positions in a wireless sensor network. We then employ Elman neural networks to construct a mapping model relationship between received signal strength and radio wave propagation path distance. We therefore can train such neural networks with the collected signal strength before detect distance with the well-trained neural networks. Experimental results show that this approach has better ranging capability.