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Towards Efficient Processing of General-Purpose Joins in Sensor Networks

机译:致力于传感器网络中通用连接的高效处理

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Join processing in wireless sensor networks is difficult: As the tuples can be arbitrarily distributed within the network, matching pairs of tuples is communication intensive and costly in terms of energy. Current solutions only work well with specific placements of the nodes and/or make restrictive assumptions. In this paper, we present SENS-Join, an efficient general-purpose join method for sensor networks. To obtain efficiency, SENS-Join does not ship tuples that do not join, based on a filtering step. Our main contribution is the design of this filtering step which is highly efficient in order not to exhaust the potential savings. We demonstrate the performance of SENS-Join experimentally: The overall energy consumption can be reduced by more than 80%, as compared to the state-of-the-art approach. The per node energy consumption of the most loaded nodes can be reduced by more than an order of magnitude.
机译:无线传感器网络中的加入处理非常困难:由于元组可以在网络中任意分布,因此匹配的元组对在通信方面非常耗费能源,而且成本很高。当前的解决方案仅在节点的特定位置和/或进行限制性假设时才能很好地工作。在本文中,我们提出了SENS-Join,一种用于传感器网络的高效通用连接方法。为了获得效率,SENS-Join不会根据过滤步骤运送未加入的元组。我们的主要贡献是该过滤步骤的设计,该步骤非常高效,以免耗尽潜在的节省。我们通过实验证明了SENS-Join的性能:与最新技术相比,总能耗可降低80%以上。负载最大的节点的每节点能耗可以减少一个数量级以上。

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