Abstract

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.

中文翻译：

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基于查询相似性索引的多应用共享无线传感器网络查询预处理机制

摘要

在多应用程序共享无线传感器网络中，各种应用程序查询在其空间，时间和感测属性要求上表现出相似性，从而导致冗余的感测任务。这种冗余感测任务的分发和执行导致网络流量开销和传感器节点的能量快速下降。现有的任务调度和分配机制着重于通过最大化感测任务之间的数据共享来减少上游流量。但是，由于感知任务的传播而导致的下游流量在大规模WSN中起着至关重要的作用，需要加以解决。本文提出了一种基于查询相似性索引的查询预处理机制，该机制通过创建与查询的重叠功能要求相对应的通用查询来防止生成冗余感知任务，并显着减少了下游流量和上游流量。性能评估显示，与最新机制相比，下游流量减少了约60％，上游流量减少了20–40％，能耗减少了40％。