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.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessments) (IITA-2005-(C1090-0501-0022)).
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Mateo, R.M.A., Lee, J., Yang, H. (2006). Optimization of Location Management in the Distributed Location-Based Services Using Collaborative Agents. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_20
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DOI: https://doi.org/10.1007/11751595_20
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