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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.
In order to optimize the total energy consumption of event-driven sensor networks, an adaptive routing algorithm based on data aggregation is proposed. It can realize the distributed clustering of event-domain nodes with low control overhead, calculate and make use of routing aggregation center to establish an event- The approximate Steiner tree can effectively reduce the amount of data packet and control packet transmission in the network.Real analysis and experiments show that the algorithm has less routing structure establishment and maintenance overhead, can optimize the efficiency of data aggregation, achieve energy efficient data collection, improve the network performance.