A spatial access method approach to continuous k-nearest neighbour processing for location-based services

W. Osborn
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Abstract

In this paper, two strategies for handling continuous k-nearest neighbour queries for location-based services are proposed. CKNN1 and CKNN2 utilise a validity (i.e., safe) region approach for minimising the number of query requests that need to be send to the server. They also use a two-dimensional spatial access method for both validity region selection and in-structure searching. The latter feature ensures that new searches for a validity region are not required to begin from the root. An evaluation and comparison of both strategies is performed against repeated nearest neighbour search. Both random and exponentially distributed point sets are utilised. Results show that both approaches achieve significant performance gains, especially with respect to reducing the number of queries that must be sent from the client to the server.
基于位置服务的连续k近邻处理的空间访问方法
本文提出了两种处理基于位置服务的连续k近邻查询的策略。CKNN1和CKNN2利用有效性(即安全)区域方法来最小化需要发送到服务器的查询请求的数量。采用二维空间访问方法进行有效区域选择和结构内搜索。后一个特性确保对有效性区域的新搜索不需要从根开始。针对重复的最近邻搜索,对两种策略进行了评估和比较。随机和指数分布的点集都被使用。结果表明,这两种方法都获得了显著的性能提升,特别是在减少必须从客户机发送到服务器的查询数量方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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