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A generic framework for monitoring continuous spatial queries over moving objects
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Source International Conference on Management of Data archive
Proceedings of the 2005 ACM SIGMOD international conference on Management of data table of contents
Baltimore, Maryland
SESSION: Research papers: spatial and high-dimensional data table of contents
Pages: 479 - 490  
Year of Publication: 2005
ISBN:1-59593-060-4
Authors
Haibo Hu  Hong Kong University of Science & Technology
Jianliang Xu  Hong Kong Baptist University
Dik Lun Lee  Hong Kong University of Science & Technology
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes a generic framework for monitoring continuous spatial queries over moving objects. The framework distinguishes itself from existing work by being the first to address the location update issue and to provide a common interface for monitoring mixed types of queries. Based on the notion of safe region, the client location update strategy is developed based on the queries being monitored. Thus, it significantly reduces the wireless communication and query reevaluation costs required to maintain the up-to-date query results. We propose algorithms for query evaluation/reevaluation and for safe region computation in this framework. Enhancements are also proposed to take advantage of two practical mobility assumptions: maximum speed and steady movement. The experimental results show that our framework substantially outperforms the traditional periodic monitoring scheme in terms of monitoring accuracy and CPU time while achieving a close-to-optimal wireless communication cost. The framework also can scale up to a large monitoring system and is robust under various object mobility patterns.


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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CITED BY  17
Collaborative Colleagues:
Haibo Hu: colleagues
Jianliang Xu: colleagues
Dik Lun Lee: colleagues