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Efficient moving k nearest neighbor queries over line segment objects

机译:在线段对象上有效移动k个最近邻居查询

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摘要

The growing need for location based services motivates the moving k nearest neighbor query (MkNN), which requires to find the k nearest neighbors of a moving query point continuously. In most existing solutions, data objects are abstracted as points. However, lots of real-world data objects, such as roads, rivers or pipelines, should be reasonably modeled as line segments or polyline segments. In this paper, we present LV*-Diagram to handle MkNN queries over line segment data objects. LV*-Diagram dynamically constructs a safe region. The query results remain unchanged if the query point is in the safe region, and hence, the computation cost of the server is greatly reduced. Experimental results show that our approach significantly outperforms the baseline method w.r.t. CPU load, I/O, and communication costs.
机译:对基于位置的服务的日益增长的需求激发了移动的k个最近邻居查询(MkNN),这需要连续查找移动的查询点的k个最近邻居。在大多数现有解决方案中,数据对象被抽象为点。但是,应将许多现实世界的数据对象(例如道路,河流或管道)合理地建模为线段或折线段。在本文中,我们提出了LV * -Diagram来处理线段数据对象上的MkNN查询。 LV *-图动态地构造一个安全区域。如果查询点在安全区域内,则查询结果保持不变,从而大大降低了服务器的计算成本。实验结果表明,我们的方法明显优于基线方法。 CPU负载,I / O和通信成本。

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