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首页> 外文期刊>Journal of software >Vertical-Line-Based Incremental Algorithms for Moving Objects of the Monochromatic and Bichromatic Reverse Nearest Neighbors
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Vertical-Line-Based Incremental Algorithms for Moving Objects of the Monochromatic and Bichromatic Reverse Nearest Neighbors

机译:单色和双色反向最近邻移动对象的基于垂直线的增量算法

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Due to wireless communication technologies, positioning technologies, and mobile computing develop quickly, mobile services are becoming important on the spatial database management. One of the most important topics in the spatial information query processing is the Reverse Nearest Neighbor query (RNN query). There are two types of the RNN query problem: Monochromatic and Bichromatic RNN queries. The IGERN algorithm can handle both types of the RNN query. In this paper, based on the revised version of the IGERN algorithm, we propose the MQMRNN and BQMRNN algorithms which are used to handle the Monochromatic query and Bichromatic RNN query, respectively. We use a vertical line which is passing through the query to improve the performance. From the simulation results, we show that our proposed algorithms are more efficient than the IGERN algorithm, when data objects are with the uniform distribution.
机译:由于无线通信技术,定位技术和移动计算的快速发展,移动服务在空间数据库管理中变得越来越重要。空间信息查询处理中最重要的主题之一是反向最近邻查询(RNN查询)。 RNN查询问题有两种类型:单色和双色RNN查询。 IGERN算法可以处理两种类型的RNN查询。本文基于IGERN算法的修订版,提出了分别用于处理单色查询和双色RNN查询的MQMRNN和BQMRNN算法。我们使用一条垂直线穿过查询以提高性能。从仿真结果可以看出,当数据对象具有均匀分布时,我们提出的算法比IGERN算法更有效。

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