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Enhancing of the Prefetching Prediction for Context-Aware Mobile Information Services

  • Conference paper
Mobile Ad-hoc and Sensor Networks (MSN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3794))

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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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Choi, I.S., Lee, H.G., Cho, G.H. (2005). Enhancing of the Prefetching Prediction for Context-Aware Mobile Information Services. In: Jia, X., Wu, J., He, Y. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2005. Lecture Notes in Computer Science, vol 3794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599463_106

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  • DOI: https://doi.org/10.1007/11599463_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30856-0

  • Online ISBN: 978-3-540-32276-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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