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Knowledge-Based Mobility Management in All-Mobile Network

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

The paper deals with mobility management in all-mobile network, where mobile and intelligent software agents support terminal, user and service mobility. It defines the formal model of all-mobile network. The elaborated knowledge-based mobility management is defined as one that reduces location uncertainty using knowledge representation related to mobility tracking and learning of the user’s path, its favourite routes and locations, and habitual duration of stay. Case study describing location strategy based on the “most likely locations in the most likely order” principle is presented.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia

    Ignac Lovrek & Vjekoslav Sinkovic

Authors
  1. Ignac Lovrek
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  2. Vjekoslav Sinkovic
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Lovrek, I., Sinkovic, V. (2003). Knowledge-Based Mobility Management in All-Mobile Network. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_91

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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