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Efficient Processing of Continual Range Queries for Location-Aware Mobile Services

Author

Listed:
  • Kun-Lung Wu

    (IBM T.J. Watson Research Center)

  • Shyh-Kwei Chen

    (IBM T.J. Watson Research Center)

  • Philip S. Yu

    (IBM T.J. Watson Research Center)

Abstract

Efficient processing of continual range queries is important in providing location-aware mobile services. In this paper, we study a new main memory-based approach to indexing continual range queries to support location-aware mobile services. The query index is used to quickly answer the following question continually: “Which moving objects are currently located inside the boundaries of individual queries?” We present a covering tile-based (COVET) query index. A set of virtual tiles are predefined, each with a unique ID. One or more of the virtual tiles are used to strictly cover the region defined by an individual range query. The query ID is inserted into the ID lists associated with the covering tiles. These covering tiles touch each other only at the edges. A COVET index maintains a mapping between a covering tile and all the queries that contain that tile. For any object position, search is conducted indirectly via the covering tiles. More importantly, a COVET-based query index allows query evaluation to take advantage of incremental changes in object locations. Computation can be saved for those objects that have not moved outside the boundaries of covering tiles. Simulations are conducted to evaluate the effectiveness of the COVET index and compare virtual tiles of different shapes and sizes.

Suggested Citation

  • Kun-Lung Wu & Shyh-Kwei Chen & Philip S. Yu, 2005. "Efficient Processing of Continual Range Queries for Location-Aware Mobile Services," Information Systems Frontiers, Springer, vol. 7(4), pages 435-448, December.
    • Handle: RePEc:spr:infosf:v:7:y:2005:i:4:d:10.1007_s10796-005-4813-5
    DOI: 10.1007/s10796-005-4813-5
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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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