基于事件驱动的无线传感器网络动态分簇路由算法

Event-driven Dynamic-clustering Routing Algorithm for Wireless Sensor Networks

为了降低应用于突发事件监测的无线传感器网络的能量消耗,设计实现了一种基于事件驱动的动态分簇路由算法。在人体神经系统工作机制和传感器网络分簇路由协议的基础上,建立了基于人体神经系统的传感器节点模型,提出簇的生存时间和覆盖范围依据事件情况而动态调整,以有效提高数据融合性能,避免冗余分簇。仿真实验结果表明,该算法与TEEN相比消耗的能量更少,可以有效延长网络的生存时间。

In order to save energy for wireless sensor networks （WSN） applied to monitoring emergencies, an event-driven dynamic-clustering routing algorithm （EDDCR） was proposed and realized. According to working mechanisms of the nervous system and dynamic-clustering routing algorithms, a novel WSN node model was established. Based on the node model, EDDCR dynamically adjusted the lifetime and the scale of clusters according to events. Consequently, EDDCR improved the performance of data aggregation and avoided redundant clustering. In comparison with TEEN, the simulation results show that the EDDCR algorithm reduces energy consumption and considerably prolongs the lifetime of the network.