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Query similarity index based query preprocessing mechanism for multiapplication sharing wireless sensor networks

机译：基于查询的Multiapplication共享无线传感器网络的查询基于查询的查询预处理机制

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摘要

In multiapplication sharing wireless sensor networks, various application queries exhibit similarity in their spatial, temporal, and sensing attribute requirements, thus result in redundant sensing tasks. The dissemination and execution of such redundant sensing tasks cause network traffic overhead and quick energy drop of the sensor nodes. Existing task scheduling and allocation mechanisms focus on reducing upstream traffic by maximizing data sharing among sensing tasks. However, downstream traffic due to sensing tasks dissemination plays a crucial role in large-scale WSNs and required to be addressed. This paper proposes a query similarity index based query preprocessing mechanism that prevents the generation of redundant sensing tasks by creating a common query corresponding to the overlapping functional requirements of the queries and reduces the downstream as well as upstream traffic significantly. The performance evaluation reveals approximately 60% reduction in downstream traffic, 20-40% reduction in upstream traffic, and 40% reduction in energy consumption when compared with state-of-the-art mechanisms.
机译：在共享无线传感器网络中的多集效中，各种应用查询在其空间，时间和感应属性要求中表现出相似性，从而导致冗余的传感任务。这种冗余传感任务的传播和执行导致网络流量开销和传感器节点的快速节能。现有的任务调度和分配机制专注于通过最大化传感任务之间的数据共享来减少上游流量。然而，由于传感任务而导致的下游流量传播在大规模的WSN中发挥着至关重要的作用，并要求解决。本文提出了一种基于查询的类似索引的查询预处理机制，其通过创建与查询的重叠功能要求对应的共同查询来防止生成冗余传感任务，并显着降低下游以及上游流量。绩效评估显示下游业务减少约60％，上游交通减少20-40％，与最先进的机制相比，能耗减少40％。

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