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Querying Mobile Objects in Spatio-Temporal Databases

  • Kriengkrai Porkaew
  • Iosif Lazaridis
  • Sharad Mehrotra
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2121)

Abstract

In dynamic spatio-temporal environments where objects may continuously move in space, maintaining consistent information about the location of objects and processing motion-specific queries is a challenging problem. In this paper, we focus on indexing and query processing techniques for mobile objects. Specifically, we develop a classification of different types of selection queries that arise in mobile environments and explore efficient algorithms to evaluate them. Query processing algorithms are developed for both native space and parametric space indexing techniques. A performance study compares the two indexing strategies for different types of queries.

Keywords

Query Processing Range Query Query Point Native Space Mobile Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Kriengkrai Porkaew
    • 1
  • Iosif Lazaridis
    • 2
  • Sharad Mehrotra
    • 2
  1. 1.King Mongkut’s University of Technology at ThonburiThailand
  2. 2.University of CaliforniaIrvineUSA

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