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Querying sensor networks by using dynamic task sets

机译:使用动态任务集查询传感器网络

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A data querying scheme is introduced for sensor networks where queries formed for each sensing task are sent to task sets. The sensor field is partitioned into subregions by using quadtree based addressing, and then a given number of sensors from each subregion are assigned to each task set by using a distributed algorithm. The number of nodes in a task set depends on the task specifications. Hence, the sensed data is retrieved from a sensor network in the level of detail specified by users, and a tradeoff mechanism between data resolution and query cost is provided. Experiments show that the dynamic task sets scheme systematically reduces the number of sensors involved in a query in the orders of magnitude in the expense of slight reduction in the event detection rate.
机译:针对传感器网络引入了一种数据查询方案,其中将针对每个传感任务形成的查询发送到任务集。通过使用基于四叉树的寻址将传感器字段划分为子区域,然后使用分布式算法将来自每个子区域的给定数量的传感器分配给每个任务集。任务集中的节点数取决于任务规范。因此,以用户指定的详细程度从传感器网络检索感测到的数据,并提供了数据分辨率和查询成本之间的折衷机制。实验表明,动态任务集方案以数量级的方式系统地减少了查询中涉及的传感器的数量,但代价是事件检测率略有降低。

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