摘要
针对物联网底层通信中,光纤激光传感器采集的数据融合度低、触点控制平均适应度差的问题,提出一种新的传感器触点控制方法。首先根据光纤激光传感器节点分布模型构建物联网的初始网络结构,求得表示节点中数据分布统计特征量,然后建立马尔科夫链并在云计算环境下进行簇内传感节点采集数据的融合处理,根据融合树模型计算物联网节点分布的信息熵,基于信息熵对节点进行归类分簇,实现优化部署。最后进行光纤激光传感物联网数据融合和传输仿真分析,结果表明,该方法能提高节点的平均适应度和能量。
In this paper,a new method of sensor contact control is proposed to solve the problem of low degree of data fusion and low average fitness of nodes. First,according to the optical fiber laser sensor node distribution model to construct the initial network structure of the Internet of things,get node data distribution statistics characteristic. Then,establish a markov chain and data fuse the cluster sensor nodes data,within the tree model based on the fusion calculate iot node distribution information entropy,to classify the nodes based on information entropy,realize the optimization deployment. Finally,the data fusion and transmission simulation analysis of optical fiber laser sensor are presented,and the results show that the method can improve the average fitness and energy of the nodes.
作者
吴秋平
邹峰
WU Qiuping;ZOU Feng(Chongqing Radio ＆ TV University,Chongqing 400052,China;In the Intemet of Things Co.,Ltd.,Chongqing 401120,China)
出处
《激光杂志》
北大核心
2018年第9期123-127,共5页
Laser Journal
