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Predictive Prefetching of Context-Aware Information in Mobile Networks

  • In Seon Choi
  • Gi Hwan Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4097)

Abstract

This paper presents a mobility prediction method for context-aware service in mobile networks. It aims to reduce the latency time to get the refreshed information appropriated to the current location of mobile users. The proposed method is to effectively limit the prefetched information into the most next location context. It makes use of the mobile reference count and the residence time that stands for the mobile user’s visiting characteristics in any cell area. Then it also considers the information usability in order to further predict the prefetching candidates. In the numerical results, the proposed method is less latency time than that of the previous schemes to prefetch information matched to user’s current location.

Keywords

Data Item Mobile User Mobile Network Information Usability Access Frequency 
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

  • In Seon Choi
    • 1
  • Gi Hwan Cho
    • 2
  1. 1.Dept. of Computer Statistics & InfoChonbuk National Univ.Korea
  2. 2.Div. of Electro. and Info. Eng. (Center for LBS Technology)Chonbuk National Univ.Korea

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