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Scalable Base-Station Model-Based Multicast in Wireless Sensor Networks

机译:无线传感器网络中基于可扩展基站模型的组播

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Multicast is essential for wireless sensor network (WSN) applications. Existing multicast protocols in WSNs are often designed in a P2P pattern, assuming small number of destination nodes and frequent changes in network topologies. In order to truly adopt multicast in WSNs, we propose a base-station model-based multicast, SenCast, to meet the general requirements of applications. SenCast is scalable and energy-efficient for large group communications in WSNs. Theoretical analysis shows that SenCast is able to approximate the Minimum Nonleaf Nodes (MNN) problem to a ratio of In |R| (R is the set of all destinations), the best known lowest bound. We evaluate our design through comprehensive simulations and prototype implementations on Mica2 motes. Experimental results demonstrate that SenCast outperforms previous multicast protocols including the most recent work uCast.
机译:组播对于无线传感器网络(WSN)应用至关重要。 WSN中的现有多播协议通常以P2P模式设计,假设目标节点数量少并且网络拓扑结构频繁变化。为了在WSN中真正采用多播,我们提出了一种基于基站模型的多播SenCast,以满足应用的一般需求。 SenCast具有可伸缩性和高能效,适用于WSN中的大型组通信。理论分析表明,SenCast能够将最小非叶节点(MNN)问题近似为In | R |的比率。 (R是所有目的地的集合),最著名的最低界限。我们通过在Mica2微粒上进行全面的仿真和原型实现来评估我们的设计。实验结果表明,SenCast的性能优于以前的多播协议,包括最新的uCast。

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