无线光传感器节点数据信息智能提取方法研究

Research on intelligent data information extraction method for wireless optical sensor nodes

无线光传感器节点数据信息提取方法,可从无线光传感器节点中提取有效数据,使得无线光传感器节点的应用价值大大提高。先基于无线光传感器节点数据信息的可靠性、扩展性和健壮性构建无线光传感器节点信号模型,再在模型内计算不同节点数据的属性信息聚类中心组,根据属性信息聚类结果自适应优化整合节点数据属性信息;最后,采用自适应波数形成方法提取整合后的无线光传感器节点数据特征。为验证该方法有效性与优势展开实验分析,结果如下:提取节点数据信息最大容许误差均在5%以下,能量消耗在88 J左右,是一种精准、节能的节点数据信息提取方法,有效延长传感器网络生命周期。

The data extraction method of wireless optical sensor node can extract valid data from wireless optical sensor node, which greatly improves the application value of wireless optical sensor node. Firstly, the signal model of wireless optical sensor node is constructed based on the reliability, extensibility and robustness of wireless optical sensor node data, and then the attribute information cluster center group of different node data is calculated in the model. Finally, adaptive wave number generation method is used to extract the integrated wireless optical sensor node data characteristics. In order to verify the validity and advantages of this method, the experimental analysis is as follows: the maximum allowable error of the node data information extracted by this method is less than 5%, and the energy consumption is about 88J. It is an accurate and energy-saving node data information extraction method, which effectively extend the life cycle of sensor network.