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Optimal Locations for Join Processing in Sensor Networks

机译:传感器网络中联接处理的最佳位置

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摘要

Battery lifetime tends to become the limiting factor for query processing in sensor networks; this calls for energy-saving implementations of query-algebra operators. As the join operator is important for data acquisition in sensor networks, e.g., to explore correlations in the data, recent research has brought up a number of in-network strategies for join processing. But it is still unclear in which cases such strategies can be applied. In some scenarios it might even be optimal to process a join query using a centralized implementation. This paper presents our work in progress on analyzing how join queries can be optimally handled in sensor networks. In particular, we provide theoretical bounds on the energy-savings that can be achieved by distinct in- network strategies as opposed to a simple centralized join. An important aspect is that devising an optimal join strategy requires knowledge, e.g. of the join selectivity. Gathering this knowledge reduces the potential energy savings. Our major contribution is to show in which cases different in-network approaches are theoretically applicable and when the superior strategy is to perform the join at the base station. This is a first step towards devising practical join strategies.
机译:电池寿命趋向于成为传感器网络中查询处理的限制因素。这要求查询代数运算符的节能实现。由于联接运算符对于传感器网络中的数据采集非常重要,例如,探索数据中的相关性,因此最近的研究提出了许多用于联接处理的网络内策略。但是,尚不清楚在哪些情况下可以应用此类策略。在某些情况下,使用集中式实现来处理联接查询甚至可能是最佳选择。本文介绍了我们在分析如何在传感器网络中最佳处理联接查询方面的工作。特别是,我们提供了关于通过不同的网络内策略(而不是简单的集中式连接)可以实现的节能的理论界限。重要的方面是设计最佳的加入策略需要知识,例如连接选择性。收集这些知识会减少潜在的能源节省。我们的主要贡献是表明理论上在何种情况下可以使用不同的网络内方法,以及何时采用更好的策略在基站进行连接。这是制定实用联接策略的第一步。

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