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A class of mobile motion prediction algorithms for wireless mobile computing and communications

George Liu1 and Gerald Maguire Jr.2

(1) System Research Department, Ericsson Radio Systems, S-16480 Stockholm, Sweden
(2) Department of Teleinformatics, Royal Institute of Technology, S-16440 Stockholm, Sweden

Abstract  This paper describes a class of novel mobile motion prediction algorithms for supporting global mobile data accessing. Traditionally, mobility and routing management includes functions to passively keep track of the location of the users/terminals and to maintain connections to the terminals belonging to the system. To maintain uninterrupted high-quality service for distributed applications, it is important that a mobile system be more intelligent and can anticipate the change of the location of its user. We propose an aggressive mobility and routing management scheme, called predictive mobility management. A class of mobile motion prediction algorithms predicts the ldquofuturerdquo location of a mobile user according to the user's movement history, i.e., previous movement patterns. By combining this scheme with mobility agent functions, the service and user routing data are actually pre-connected and pre-assigned at the locations to which the user is moving. Thus, the user can immediately receive service or data with virtually the same efficiency as at the previous location, i.e., without encountering a large ldquodata structure handoverrdquo delay before service or data is available.

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Referenced by
6 newer articles

  1. Samaan, N. (2005) A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps. IEEE Transactions on Mobile Computing 4(6)
    [CrossRef]
  2. Petander, H. (2006) Measuring and Improving the Performance of Network Mobility Management in IPv6 Networks. IEEE Journal on Selected Areas in Communications 24(9)
    [CrossRef]
  3. Libo Song (2006) Evaluating Next-Cell Predictors with Extensive Wi-Fi Mobility Data. IEEE Transactions on Mobile Computing 5(12)
    [CrossRef]
  4. Kyriakakos, M. (2003) Enhanced path prediction for network resource management in wireless LANs. IEEE Wireless Communications 10(6)
    [CrossRef]
  5. Joon-Min Gil (2001) Restoration scheme of mobility databases by mobility learning and prediction in PCS networks. IEEE Journal on Selected Areas in Communications 19(10)
    [CrossRef]
  6. Zander, Roland (2006) Combining Bandwidth Borrowing and Reservation in Cellular Networks. International Journal of Wireless Information Networks 12(3)
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