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A two-tier data dissemination model for large-scale wireless sensor networks

机译:大规模无线传感器网络的两层数据传播模型

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Sink mobility brings new challenges to large-scale sensor networking. It suggests that information about each mobile sink's location be continuously propagated through the sensor field to keep all sensor nodes updated with the direction of forwarding future data reports. Unfortunately frequent location updates from multiple sinks can lead to both excessive drain of sensors' limited battery power supply and increased collisions in wireless transmissions. In this paper we describe TTDD, a Two-Tier Data Dissemination approach that provides scalable and efficient data delivery to multiple mobile sinks. Each data source in TTDD proactively builds a grid structure which enables mobile sinks to continuously receive data on the move by flooding queries within a local cell only. TTDD's design exploits the fact that sensor nodes are stationary and location-aware to construct and maintain the grid structures with low overhead. We have evaluated TTDD performance through both analysis and extensive simulation experiments. Our results show that TTDD handles multiple mobile sinks efficiently with performance comparable with that of stationary sinks.
机译:接收器移动性给大规模传感器网络带来了新的挑战。它建议有关每个移动接收器位置的信息通过传感器字段连续传播,以使所有传感器节点保持更新,以转发未来数据报告的方向。不幸的是,来自多个接收器的频繁位置更新会导致传感器的有限电池电源消耗过多,以及无线传输中的冲突增加。在本文中,我们描述了 TTDD ,这是一种双层数据分发方法,可以为多个移动接收器提供可扩展且高效的数据传递。 TTDD中的每个数据源都主动建立一个网格结构,该结构使移动接收器仅通过在本地小区中泛洪查询就可以连续接收移动中的数据。 TTDD的设计利用了传感器节点固定且位置感知的事实,从而以较低的开销构建和维护网格结构。我们已经通过分析和广泛的模拟实验评估了TTDD的性能。我们的结果表明,TTDD可有效处理多个移动水槽,其性能可与固定水槽媲美。

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