基于BP神经网络的无线传感器网络路由协议的研究

由于无线传感器网络的资源比较有限，尤其是节点的能量受限，为了尽可能的减少信息收集与传输过程中的能耗，延长网络的寿命，本文提出了基于BP神经网络的路由协议改进算法模型，该算法模型将BP神经网络的层次结构与无线传感器网络路由协议的分簇结构相结合，在每个簇结构中应用设计一个三层的BP神经网络模型，把采集到的大量原始数据通过设计好的神经网络模型，得到能够反映原始数据特征的的少量的数据信息。只需要将融合得到的特征数据传送给汇聚节点，从而减少了数据信息的传送量，降低信息传送的通信能耗，延长网络生存时间。仿真结果表明：改进后的算法较LEACH协议在平衡节点能量和延长网络寿命方面具有更优越的性能．

Improved Routing Protocol of Wireless Sensor Network Based on the BP Neural Networks

Due to the limitation of resource and the node energy in wireless sensor network, a routing protocol improved algorithm model based on BP neural network is proposed for saving energy and prolonging lifetime of network. The algorithm model puts the hierarchical structure of BP neural network into clustering routing protocol, which designs a three-layer BP neural network model in each cluster structure. The mass raw collected data are processed cross the model, then the represented features processed data will be transmitted. So the transmission amount of data information is reduced, then saving the energy and prolonging the network life time. The simulation results show that compared with LEACH, the improved algorithm has a better performance in balancing node energy and prolonging the lifetime of the network