Location management in PCN by movement prediction of the mobile host

Goutam Chakraborty, Bhed Bahadur Bista, Debasish Chakrabort, Norio Shiratori

    研究成果: Conference contribution

    11 被引用数 (Scopus)

    抄録

    The mobile host's mobility profile, in a Personal Communication Network (PCN) environment, is modeled. It is argued that, for a majority of mobile hosts (MHs) for most of the time, the movement profile repeats on a day-to-day basis. The next movement strongly depends on the present location and the time of the day. In this paper, such a pattern for every individual MHs is learned. The model is not static and re-learning is initiated as the behavior of the mobile host changes. Thus the model assumes that the past patterns will repeat in future and a past causal relationship (i.e., next state depends on previous state) continue into the future. A copy of the model is uploaded at the home location register (HLR). This facilitates the system to predict to a high degree of accuracy the location of a MH. During the course of learning, as the model gets perfected, the frequency of updates decreases as well as the probability of success in paging improves. The model is continuously verified locally and re-learning is initiated when a shift in mobility pattern is detected. The validity of the proposed model was verified through simulations.

    本文言語English
    ホスト出版物のタイトルIEEE International Symposium on Industrial Electronics
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ78-83
    ページ数6
    1
    ISBN(印刷版)0780373693, 9780780373693
    出版ステータスPublished - 2002
    イベント2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 - L'Aquila
    継続期間: 2002 7 82002 7 11

    Other

    Other2002 IEEE International Symposium on Industrial Electronics, ISIE 2002
    CityL'Aquila
    Period02/7/802/7/11

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 制御およびシステム工学

    フィンガープリント

    「Location management in PCN by movement prediction of the mobile host」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル