基于事件驱动和最小延迟融合路径的无线传感器网络突发事件监测研究

针对无线传感器网络应用于突发事件监测场景的能量消耗和网络延迟问题,提出了基于事件驱动和最小延迟融合路径的无线传感器网络数据融合算法.其中,动态成簇过程基于事件严重程度,并由其决定簇的生命周期和覆盖范围;融合节点等待时间取决于节点到簇头的跳数和节点的度,通过计算每个节点的融合等待时间,以获取最小延迟融合路径.仿真实验表明,该算法能有效节省能量,且能显著减少网络延迟,为无线传感器网络应用于突发事件监测提供了一种适用的方法.

Emergent Event Monitoring Based on Event-Driven and Minimum Delay Aggregation Path in Wireless Sensor Network

Focusing on the energy consumption and the network delay in wireless sensor network applied to emergent event monitoring,a new data fusion algorithm for the wireless sensor network based on event-driven and minimum delay aggregation path is proposed.The process of dynamically clustering the sensor nodes is based on the event severity,by which the scale and lifetime of clusters are determined.The fusion waiting time is determined by the hop count from fusing node to cluster head and the degree of fusing node...