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C-kNN Query Processing in Object Tracking Sensor Networks

机译:目标跟踪传感器网络中的C-kNN查询处理

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Wireless sensor networks (WSNs) are being developed for a variety of applications. Continuous k nearest neighbors (C-kNN) query is an essential class of spatial query in object tracking applications. Due to the limited power of individual node, energy is the most critical resource in sensor networks. In order to always report the up-to-date results, a centralized solution requires the transmission of a large number of location update messages. Intuitively, current information is necessary only for objects that may influence some query results. Motivated by this observation, we propose a threshold-based C-kNN search algorithm with the minimal message transmissions. The key idea is to set thresholds for moving objects corresponding to each query so that only the location updates which affect the final results are transmitted. The proposed method can be used with multiple, static or moving queries. The experiments results show the effectiveness and efficiency of our approach in terms of energy and latency.
机译:无线传感器网络(WSN)正在开发用于各种应用程序。连续k个最近邻居(C-kNN)查询是对象跟踪应用程序中必不可少的空间查询类。由于单个节点的功率有限,能量是传感器网络中最关键的资源。为了始终报告最新结果,集中式解决方案需要传输大量位置更新消息。直观地,当前信息仅对于可能影响某些查询结果的对象是必需的。基于这种观察,我们提出了一种基于门限的C-kNN搜索算法,该算法具有最小的消息传输。关键思想是为与每个查询相对应的移动对象设置阈值,以便仅传输影响最终结果的位置更新。所提出的方法可以与多个,静态或移动查询一起使用。实验结果显示了我们的方法在能量和延迟方面的有效性和效率。

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