基于BPPN的微电网通信WSN链路质量预测

Prediction of WSN Link Quality of Microgrid Communication Based on BPPN

链路质量在微电网通信无线传感器(WSN)领域一直都是研究的热点,其具有非平稳和非线性的随机特性,难以实现精确的预测。根据微电网对于无线传感器通信质量和中国通信规范的要求,以小波神经网络预测模型(BPPN)为基础,提出了无线传感器质量的预测方法,并且在保证通信质量的前提下提出了相应的控制计算法。通过以微型太阳能发电的微电网通信系统对预测算法进行了实际测试,表明了该方法在实际应用中具有重要的理论意义和实际应用价值。

Link quality has always been a research hotspot in the field of micro-grid communication wireless sensor(WSN).However,it has non-stationary and nonlinear stochastic characteristics,and is difficult to achieve accurate prediction.According to the requirements of wireless power communication for wireless sensor communication and the requirements of China’s communication specifications,this paper proposes a wireless sensor quality prediction method based on BPPNmodel,and proposes a corresponding control calculation method under the premise of ensuring communication quality.The micro-grid communication system based on micro solar power is used to test the prediction algorithm.It shows that the method has important theoretical significance and practical application value.