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A Survey on Mobility-Assisted Data Collection in Wireless Sensor Networks

机译:无线传感器网络中的移动辅助数据收集研究

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Collecting data from spatially distributed sensor nodes is a generic form of sensor network applications. Multihop forwarding has been broadly used for this purpose, but it could be inefficient in terms of energy consumption, especially when the nodes are deployed sparsely. On the other hand, using a mobile device (often referred as a "mobile element") to traverse the sensor field and collect data from each sensor is an alternative approach. This mobility-assisted approach significantly reduces energy consumption at each node. However, a downside of this approach is an increased data delivery latency, and thus we should optimize the motion of data mule so that we can minimize the latency. In this paper, we survey the existing work on the mobility-assisted data collection by classifying them into three categories based on the mobility exploited: the random mobility, the predictable mobility, and the controlled mobility. We also highlight several open problems on this topic.
机译:从空间分布的传感器节点收集数据是传感器网络应用程序的一种通用形式。多跳转发已广泛用于此目的,但是在能耗方面可能效率低下,尤其是在节点稀疏部署时。另一方面,使用移动设备(通常称为“移动元件”)遍历传感器场并从每个传感器收集数据是另一种方法。这种移动辅助方法可显着减少每个节点的能耗。但是,这种方法的缺点是增加了数据传递延迟,因此,我们应该优化数据ule子的运动,以使延迟最小化。在本文中,我们通过根据利用的移动性将它们分为三类来调查现有的有关移动性辅助数据收集的工作:随机移动性,可预测的移动性和受控的移动性。我们还重点介绍了有关此主题的几个未解决的问题。

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