ACM Home Page
Please provide us with feedback. Feedback
Valid scope computation for location-dependent spatial query in mobile broadcast environments
Full text PdfPdf (417 KB)
Source
Conference on Information and Knowledge Management archive
Proceeding of the 17th ACM conference on Information and knowledge management table of contents
Napa Valley, California, USA
SESSION: DB: mobile and distributed data management table of contents
Pages 1231-1240  
Year of Publication: 2008
ISBN:978-1-59593-991-3
Authors
Ken C.K. Lee  Pennsylvania State University, University Park, PA, USA
Josh Schiffman  Pennsylvania State University, University Park, PA, USA
Baihua Zheng  Singapore Management University, Singapore, Singapore
Wang-Chien Lee  Pennsylvania State University, University Park, PA, USA
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 110,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1458082.1458245
What is a DOI?

ABSTRACT

Wireless data broadcast is an efficient and scalable means to provide information access for a large population of clients in mobile environments. With Location-Based Services (LBSs) deployed upon a broadcast channel, mobile clients can collect data from the channel to answer their location-dependent spatial queries (LDSQs). Since the results of LDSQs would become invalid when mobile client moves to new locations, the knowledge of valid scopes for LDSQ results is necessary to assist clients to determine if their previous LDSQ results can be reused after they moved. This effectively improves query response time and client energy consumption. In this paper, we devise efficient algorithms to determine valid scopes for various LDSQs including range, window and nearest neighbor queries along with LDSQ processing over a broadcast channel. We conduct an extensive set of experiments to evaluate the performance of our proposed algorithms. While the proposed valid scope algorithm incurs only little extra processing overhead, unnecessary LDSQ reevaluation is significantly eliminated, thus providing faster query response and saving client energy.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
C. Gotsman and M. Lindenbaum. On the Metric Properties of Discrete Space-Filling Curves. IEEE Transactions on Image Processing, 5(5):794--797, 1996.
4
 
5
 
6
 
7
Mesquite Software. CSIM 18, http://www.mesquite.com.
 
8
9
 
10
U.S. Census Bureau. Topologically Integrated Geographic Encoding and Referencing System (TIGER/Line). http://www.census.gov/geo/www/tiger/.
11
 
12
13
 
14
 
15
 
16
B. Zheng, J. Xu, W.-C. Lee, and D. L. Lee. Energy-Conserving Air Indexes for Nearest Neighbor Search. In Proceedings of EDBT, Heraklion, Crete, Greece, Mar 14-18, pages 48--66, 2004.


Collaborative Colleagues:
Ken C.K. Lee: colleagues
Josh Schiffman: colleagues
Baihua Zheng: colleagues
Wang-Chien Lee: colleagues