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Moving view field nearest neighbor queries

Authors
Kim, WooilShim, ChangbeomHeo, WanYi, SungminChung, Yon Dohn
Issue Date
1월-2019
Publisher
ELSEVIER SCIENCE BV
Keywords
Moving view field nearest neighbor query; Spatial databases; Continuous query; Augmented reality; Location-based service
Citation
DATA & KNOWLEDGE ENGINEERING, v.119, pp.58 - 70
Indexed
SCIE
SCOPUS
Journal Title
DATA & KNOWLEDGE ENGINEERING
Volume
119
Start Page
58
End Page
70
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/68847
DOI
10.1016/j.datak.2018.12.002
ISSN
0169-023X
Abstract
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.
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