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Bandwidth-constrained queries in sensor networks

机译:传感器网络中带宽受限的查询

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Sensor networks consist of battery-powered wireless devices that are required to operate unattended for long periods of time. Thus, reducing energy drain is of utmost importance when designing algorithms and applications for such networks. Aggregate queries are often used by monitoring applications to assess the status of the network and detect abnormal behavior. Since radio transmission often constitutes the biggest factor of energy drain in a node, in this paper we propose novel algorithms for the evaluation of bandwidth-constrained queries over sensor networks. The goal of our techniques is, given a target bandwidth utilization factor, to program the sensor nodes in a way that seeks to maximize the accuracy of the produced query results at the monitoring node, while always providing strong error guarantees to the monitoring application. This is a distinct difference of our framework from previous techniques that only provide probabilistic guarantees on the accuracy of the query result. Our algorithms are equally applicable when the nodes have ample power resources, but bandwidth consumption needs to be minimized, for instance in densely distributed networks, to ensure proper operation of the nodes. Our experiments with real sensor data show that bandwidth-constrained queries can substantially reduce the number of messages in the network while providing very tight error bounds on the query result.
机译:传感器网络由电池供电的无线设备组成,这些设备需要长时间无人值守运行。因此,在设计用于此类网络的算法和应用程序时,减少能量消耗至关重要。监视应用程序经常使用聚合查询来评估网络状态并检测异常行为。由于无线电传输通常构成节点能量消耗的最大因素,因此在本文中,我们提出了用于评估传感器网络上带宽受限查询的新颖算法。我们的技术的目标是,在给定目标带宽利用率的情况下,对传感器节点进行编程,以寻求最大程度地提高监视节点处生成的查询结果的准确性,同时始终为监视应用程序提供强大的错误保证。这是我们的框架与以前的技术的明显不同,以前的技术仅对查询结果的准确性提供概率保证。当节点具有足够的电源资源时,我们的算法同样适用,但是例如在密集分布的网络中,带宽消耗需要最小化,以确保节点正常运行。我们对真实传感器数据的实验表明,带宽受限的查询可以大大减少网络中的消息数量,同时在查询结果上提供非常严格的错误范围。

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