Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
1-2009
Abstract
In mobile and wireless environments, mobile clients can access information with respect to their locations by submitting Location-Dependent Spatial Queries (LDSQs) to Location-Based Service (LBS) servers. Owing to scarce wireless channel bandwidth and limited client battery life, frequent LDSQ submission from clients must be avoided. Observing that LDSQs issued from similar client positions would normally return the same results, we explore the idea of valid scope, that represents a spatial area in which a set of LDSQs will retrieve exactly the same query results. With a valid scope derived and an LDSQ result cached at the client side, a client can assert whether the new LDSQs can be answered with the maintained LDSQ result, thus eliminating the LDSQs sent to the server. As such, contention on wireless channel and client energy consumed for data transmission can be considerably reduced. In this paper, we design efficient algorithms to compute the valid scope for common types of LDSQs, including nearest neighbor queries and range queries. Through an extensive set of experiments, our proposed valid scope computation algorithms are shown to significantly outperform existing approaches.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, Suwon, Korea, January 15-16
First Page
131
Last Page
140
ISBN
9781605584058
Identifier
10.1145/1516241.1516264
Publisher
ACM
City or Country
New York
Citation
LEE, Ken C. K.; LEE, Wang-chien; LEONG, Hong Va; UNGER, Brandon; and ZHENG, Baihua.
Efficient Valid Scope Computation for Location-Dependent Spatial Queries in Mobile and Wireless Environments. (2009). ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, Suwon, Korea, January 15-16. 131-140.
Available at: https://ink.library.smu.edu.sg/sis_research/385
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/10.1145/1516241.1516264
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons