Moving view field nearest neighbor queries

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摘要

In this paper, we introduce a novel query type, the moving view field nearest neighbor (MVFNN) query —a continuous version of the view field nearest neighbor (VFNN) query. This query continuously retrieves the nearest object in the query’s view field taking into account the changes of the query location and view field. In order to improve the performance of the query processing, we propose the notion of geographical and angular safe boundaries. We can skip redundant computation if the moved query satisfies the geographical and angular safe boundaries. Our method is easily applicable to existing services since we do not transform the general index structures. We prove the efficiency of our method by a series of experiments varying the parameters such as query’s moving speed, view field angle, and the distribution of data objects.

论文关键词:Moving view field nearest neighbor query,Spatial databases,Continuous query,Augmented reality,Location-based service

论文评审过程:Received 16 November 2017, Revised 19 September 2018, Accepted 12 December 2018, Available online 19 December 2018, Version of Record 27 February 2019.

论文官网地址:https://doi.org/10.1016/j.datak.2018.12.002