Publication Type
Journal Article
Version
acceptedVersion
Publication Date
10-2011
Abstract
Nowadays, location-related information is highly accessible to mobile users via issuing Location-Dependent Spatial Queries (LDSQs) with respect to their locations wirelessly to Location-Based Service (LBS) servers. Due to the limited mobile device battery energy, scarce wireless bandwidth, and heavy LBS server workload, the number of LDSQs submitted over wireless channels to LBS servers for evaluation should be minimized as appropriate. In this paper, we exploit query containment techniques for LDSQs (called LDSQ containment) to enable mobile clients to determine whether the result of a new LDSQ Q′ is completely covered by that of another LDSQ Q previously answered by a server (denoted by Q′ ⊆ Q) and to answer Q′ locally if Q′ ⊆ Q. Thus, many LDSQs can be reduced from server evaluation. To support LDSQ containment, we propose a notion of containment scope, which represents a spatial area corresponding to an LDSQ result wherein all semantically matched LDSQs are answerable with the result. Through a comprehensive simulation, our proposed approach significantly outperforms existing techniques.
Keywords
Location-Dependent Spatial Query, Query containment, Containment scope
Discipline
Computer Sciences | Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
Data and Knowledge Engineering
Volume
70
Issue
10
First Page
842
Last Page
865
ISSN
0169-023X
Identifier
10.1016/j.datak.2011.06.001
Publisher
Elsevier
Citation
LEE, Ken C. K.; UNGER, Brandon; ZHENG, Baihua; and LEE, Wang-Chien.
Location-Dependent Spatial Query Containment. (2011). Data and Knowledge Engineering. 70, (10), 842-865.
Available at: https://ink.library.smu.edu.sg/sis_research/1410
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.datak.2011.06.001
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons