• DocumentCode
    3493428
  • Title

    Genetic Algorithm Based Multi-Step Paging in HMIPv6 Networks

  • Author

    Li, Nan ; Zhu, Yi-Hua ; Tang, Yi-ping

  • Author_Institution
    Coll. of Bus. Adm., Zhejiang Univ. of Technol., Hangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1745
  • Lastpage
    1748
  • Abstract
    Mobile IP (MIP) and Hierarchical MIP (HMIP) are proposed by the IETF (Internet Engineering Task Force) to support IP mobility. Noting that allowing mobile nodes (MNs) to be in idle state can effectively save MNs´ battery power and also decrease signaling overhead, we, based on HMIPv6, embed paging functions into MAPs (Mobile Anchor Points) and present three paging schemes: P-MIPv6, Pn-MIPv6, and D-Pn-MIPv6, which make use of MNs´ subnet residence probabilities (SRPs) to produce paging sequence including subnets in non-increasing SRP order. The costs of the proposed paging schemes are analyzed, and besides, the experimental results are given by using genetic algorithms to compare the proposed schemes.
  • Keywords
    IP networks; genetic algorithms; paging communication; D-Pn-MIPv6; HMIPv6 networks; IETF; IP mobility; Internet Engineering Task Force; P-MIPv6; genetic algorithm; hierarchical mobile IP; mobile anchor points; mobile nodes; multistep paging; subnet residence probabilities; Batteries; Costs; Data engineering; Educational institutions; Genetic algorithms; Genetic engineering; IP networks; Mobile radio mobility management; Paging strategies; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.438
  • Filename
    4340213