• DocumentCode
    3253184
  • Title

    Intelligent Mobility Support for IPv6

  • Author

    Wang, Shengling ; Cui, Yong ; Das, Sajal K.

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    14-17 Oct. 2008
  • Firstpage
    403
  • Lastpage
    410
  • Abstract
    Hierarchical MIPv6 (HMIPv6) is proposed to improve the system performance of mobile IPv6 (MIPv6). However, HMIPv6 cannot outperform MIPv6 in all scenarios because of its double-registration when a user roams across regions and the longer packet delivery latency. Therefore, to select a proper mobility management scheme between MIPv6 and HMIPv6 becomes an interesting issue, for its potentials in enhancing the capacity and scalability of the system. In this paper, we develop an analytical model to analyze the applicability of MIPv6 and HMIPv6. Based on this model, we design an intelligent mobility support (IMS) scheme that selects the better alternative between MIPv6 and HMIPv6 for a user according to its changing mobility and service characteristics. When HMIPv6 is adopted, IMS chooses the best mobility anchor point and regional size to optimize the system performance. Numerical results illustrate the impact of some key parameters on the applicability of MIPv6 and HMIPv6. Finally, it is demonstrated that IMS outperforms MIPv6 and HMIPv6.
  • Keywords
    IP networks; mobile computing; mobility management (mobile radio); HMIPv6; intelligent mobility support scheme; longer packet delivery latency; mobile IPv6; mobility anchor point; mobility management scheme; Analytical models; Computer science; Costs; Delay; Home automation; Internet; Mobile computing; Mobile radio mobility management; Scalability; System performance; Hierarchical Mobile IPv6; Mobile IPv6; regional size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, 2008. LCN 2008. 33rd IEEE Conference on
  • Conference_Location
    Montreal, Que
  • Print_ISBN
    978-1-4244-2412-2
  • Electronic_ISBN
    978-1-4244-2413-9
  • Type

    conf

  • DOI
    10.1109/LCN.2008.4664197
  • Filename
    4664197