Enhancing of the prefetching prediction for context-aware mobile information services

  • Authors:
  • In Seon Choi;Hang Gon Lee;Gi Hwan Cho

  • Affiliations:
  • Dept. of Computer Statistics & Information, Chonbuk Univ., Korea;Korea Institute of Science and Technology Information, Korea;Division of Electronics and Information Engineering, Chonbuk Univ., Korea

  • Venue:
  • MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
  • Year:
  • 2005

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Abstract

This paper deals with a prefetching method to enhance its prediction for context-aware services in mobile information system. This method aims to reduce the latency time to get the refreshed information appropriated to the current location of mobile users. To achieve this, our approach is to effectively limit the prefetched information into the most next location context. It makes use of the prefetching zone that reflects the user’s mobility speed and direction, and the mobile reference count that stands for the user’s visiting frequency to a given area. Then it considers the residence time, in order to further predict the prefetching candidates.