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

机译:基于位置服务的连续k最近邻处理的空间访问方法

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摘要

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.
机译:在本文中,提出了两种用于处理基于位置服务的连续k最近邻居查询的策略。 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。他们还使用二维空间访问方法进行有效区域选择和结构内搜索。后一个功能可确保无需从根开始对有效性区域进行新的搜索。针对重复的最近邻居搜索对两种策略进行评估和比较。随机和指数分布的点集都被利用。结果表明,这两种方法均可显着提高性能,特别是在减少必须从客户端发送到服务器的查询数量方面。

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