Efficient Processing of Moving k-Range Nearest Neighbor Queries in Directed and Dynamic Spatial Networks
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-17
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Telecommunications Engineering
Abstract EN
A k-range nearest neighbor (kRNN) query in a spatial network finds the k closest objects to each point in the query region.
The essential nature of the kRNN query is significant in location-based services (LBSs), where location-aware queries with query regions such as kRNN queries are frequently used because of the issue of location privacy and the imprecision of the associated positioning techniques.
Existing studies focus on reducing computation costs at the server side while processing kRNN queries.
They also consider snapshot queries that are evaluated once and terminated, as opposed to moving queries that require constant updating of their results.
However, little attention has been paid to evaluating moving kRNN queries in directed and dynamic spatial networks where every edge is directed and its weight changes in accordance with the traffic conditions.
In this paper, we propose an efficient algorithm called MORAN that evaluates moving k-range nearest neighbor (MkRNN) queries in directed and dynamic spatial networks.
The results of a simulation conducted using real-life roadmaps indicate that MORAN is more effective than a competitive method based on a shared execution approach.
American Psychological Association (APA)
Cho, Hyung-Ju& Jin, Rize. 2016. Efficient Processing of Moving k-Range Nearest Neighbor Queries in Directed and Dynamic Spatial Networks. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1111389
Modern Language Association (MLA)
Cho, Hyung-Ju& Jin, Rize. Efficient Processing of Moving k-Range Nearest Neighbor Queries in Directed and Dynamic Spatial Networks. Mobile Information Systems No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1111389
American Medical Association (AMA)
Cho, Hyung-Ju& Jin, Rize. Efficient Processing of Moving k-Range Nearest Neighbor Queries in Directed and Dynamic Spatial Networks. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1111389
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111389