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

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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 “future” 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 “data structure handover” delay before service or data is available.

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Authors and Affiliations

  1. System Research Department, Ericsson Radio Systems, S-16480, Stockholm, Sweden

    George Liu

  2. Department of Teleinformatics, Royal Institute of Technology, S-16440, Stockholm, Sweden

    Gerald Maguire Jr.

Authors
  1. George Liu
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  2. Gerald Maguire Jr.
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Liu, G., Maguire, G. A class of mobile motion prediction algorithms for wireless mobile computing and communications. Mobile Netw Appl 1, 113–121 (1996). https://doi.org/10.1007/BF01193332

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  • DOI: https://doi.org/10.1007/BF01193332

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