面向分簇的WSN数据融合在瓦斯监控中的应用①

摘要

为了更好地对矿井瓦斯进行监控，在迅速提取异常瓦斯数据的同时消除非异常数据带来的冗余，本文提出了一种基于分簇的 WSN(无线传感器网络)数据融合方法。它利用总能耗最小的方法将所有节点最佳分簇，每个簇的节点通过竞选簇头概率的大小来确定簇头，非簇头节点通过两次阈值判断采集的数据是否异常并将异常数据发送到监控基站供工作人员决策。实验仿真表明：该方法延长了整个传感器网络的生存周期，对矿井瓦斯起到有效监控。%To monitor mine gas better , extract the abnormal gas data rapidly and eliminate the normal data redundancy, this paper proposes a WSN data fusion based on cluster method. It used the way of minimizing the total energy consumption that all nodes are devided into clusters best, nodes in each cluster determined the cluster head through the election of cluster head probability, the cluster nodes judged the data collected whether to be abnomal or not through the two thresholds and sent it to the monitoring stations for staffs to decide. The simulation results show that this method prolongs the wireless sensor network lifetime, the mine gas is monitored effectively.