基于分布式与联合优化的无线传感器网络数据汇聚机制

Distributed data sinking mechanism based on joint optimization in wireless sensor networks

针对大规模周期汇报型传感器网络提出了一种基于分布式与联合优化的数据汇聚机制,简称DDSM。该机制采用节点周期睡眠/工作的节能调度和分布式的工作机制,并提出一种将节点的路由建立与工作时隙分配相结合的联合优化方法,综合优化网络层和MAC层功能。最后,通过模拟实验对所提机制及其实现算法的性能进行比较和评价。实验结果表明,所提机制有效降低了节点的能耗,延长了网络的生命周期。

A distributed data sinking mechanism based on joint optimization, abbreviated DDSM, for periodic report wireless sensor networks is proposed, which integrates MAC layer and network layer. In this mechanism, a joint optimization algorithm is provided which connects the routing with the slot allocation. DDSM constructs an appropriate transmission schedule that avoids transmission collisions and choose the optimum routing path that achieves high levels of power conservation. Finally, experiments are performed to evaluate the performance of the proposed mechanism. Simulation results show that DDSM can reduce the energy consumption of nodes and provide longer network lifetime.