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Optimization of Location Management in the Distributed Location-Based Services Using Collaborative Agents

  • Romeo Mark A. Mateo
  • Jaewan Lee
  • Hyunho Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3982)

Abstract

Determining mobility patterns and predicting the future mobile location are some issues in optimizing the location management of location based services. These patterns are also useful for finding trends, allocating resources and other information with the mobile user. In our paper, a location management on location based services using collaborative agents is presented. In this study, we propose an agent which learns from the pattern of the user mobility and predict the future location of mobile object to optimize the search method of the location management. We use the association rule mining and basing on these rules, the agent predicts the future mobile location. Also, these agents coordinate to each other by telling the knowledge of the possible location of the mobile object on the distributed location-based services. The result using the technique optimizes the search method of the location management.

Keywords

Location Management Location Agent Mobility Pattern Optimal Search 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 2006

Authors and Affiliations

  • Romeo Mark A. Mateo
    • 1
  • Jaewan Lee
    • 1
  • Hyunho Yang
    • 1
  1. 1.School of Electronic and Information EngineeringKunsan National UniversityChonbukSouth Korea

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