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Optimization of multiple overlapping queries for energy efficient sensor communication

机译:优化多个重叠查询以实现节能传感器通信

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摘要

Sensor networks can be viewed as a large distributed database that captures the underlying physical environment using the deployed tiny sensors. Data capturing can be requested by declaring queries. Due to energy constraint of sensor nodes, efficient processing of queries, specially when multiple of them run in the network, is a critical issue for network longevity purpose. In this paper, we address an energy sensitive model for processing of multiple queries by taking all query running phases into account. The main goal is to reduce redundant functions caused by query overlaps and increase the network life time. Specifically, we formulate energy consumption in different query running phases which helps to select optimum query plans more precisely. The proposed query processing framework is supported by a hybrid routing infrastructure made by both directed routing and flooding. Our evaluation results indicate that proposed framework leads to an energy saving improvement when multiple queries run in the network.
机译:传感器网络可以看作是一个大型的分布式数据库,该数据库使用已部署的微型传感器捕获基本的物理环境。可以通过声明查询来请求数据捕获。由于传感器节点的能量限制,对查询的高效处理(尤其是其中的多个查询在网络中运行时)对于网络寿命而言是至关重要的问题。在本文中,我们通过考虑所有查询运行阶段,提出了一种用于处理多个查询的能量敏感模型。主要目标是减少由查询重叠引起的冗余功能,并增加网络寿命。具体来说,我们制定了不同查询运行阶段的能耗,这有助于更精确地选择最佳查询计划。所提出的查询处理框架由定向路由和泛洪构成的混合路由基础结构支持。我们的评估结果表明,当在网络中运行多个查询时,提出的框架可带来节能的改进。

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