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Efficient valid scope computation for location-dependent spatial queries in mobile and wireless environments
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Source Conference On Ubiquitous Information Management And Communication archive
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication table of contents
Suwon, Korea
SESSION: Data search II table of contents
Pages 131-140  
Year of Publication: 2009
ISBN:978-1-60558-405-8
Authors
Ken C. K. Lee  Pennsylvania State University and The Hong Kong Polytechnic University, Hong Kong
Wang-Chien Lee  Pennsylvania State University
Hong Va Leong  The Hong Kong Polytechnic University, Hong Kong
Brandon Unger  Pennsylvania State University
Baihua Zheng  Singapore Management University, Singapore
Sponsor
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
Publisher
ACM  New York, NY, USA
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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.


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.

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U.S. Census Bureau. Topologically Integrated Geographic Encoding and Referencing System. U.S. Census Bureau -TIGER/Line.
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Collaborative Colleagues:
Ken C. K. Lee: colleagues
Wang-Chien Lee: colleagues
Hong Va Leong: colleagues
Brandon Unger: colleagues
Baihua Zheng: colleagues