事件驱动传感器网络中基于数据聚合的自适应路由算法

为优化事件驱动传感器网络总能耗,提出一个基于数据聚合的自适应路由算法,它能够实现低控制开销的事件域节点分布式成簇,计算并借助于路由汇聚中心,建立一棵基于事件的近似Steiner树,有效减少网内数据分组与控制分组的传输量.理论分析与实验表明,该算法的路由结构建立与维护开销较少,能优化数据聚合效率,实现高能效的数据收集,提升网络性能.

Adaptive routing algorithm based on data aggregation in event-driven wireless sensor networks

To optimize the total energy consumption for event-driven sensor networks, an adaptive routing algorithm based on data aggregation is proposed, which clusters nodes within event areas in a distributed manner with low control overhead, and builds an approximation Steiner Tree based on events in the help of the routing aggregation center to decrease the amount of transmission for data packets and control packets effectively. Theory analysis and experiments show that the proposed algorithm has better overhead on routing structure building and maintenance, optimizes the data aggregation ratio, achieves energy-efficient data collection, and promotes network performance eventually.