• DocumentCode
    2259459
  • Title

    Intelligent transport protocol design using genetic algorithm

  • Author

    Boh, Chek Liang Dominic ; Guan, Sheng-Uei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    467
  • Lastpage
    472
  • Abstract
    With the growth of information technology in all aspects of management, business and entertainment, there is an increasing demand for networking for very varied purposes: fast file transfer, video streaming and voice over Internet Protocol. Configurability, adaptability, intelligence and QoS orientation are the qualities of a successful future transport protocol. A constant process of analyzing networking through fitness levels allows feedback on QoS achievement and subsequent protocol engineering. We present an intelligent protocol, genetic algorithm transport protocol (GATP), that can evolve and adapt to the network environment and achieve an evolving user-configurable QoS. Using a constant process of negotiation, implementation and feedback, a QoS-focused networking between peers can be achieved. A review of experimental results provides an interesting insight into genetic algorithm behavior in an actual network environment.
  • Keywords
    Internet; data communication; genetic algorithms; multimedia communication; quality of service; transport protocols; Internet; QoS; VoIP; continuous media; data communication; file transfer; genetic algorithm transport protocol; information technology; intelligent protocol; video streaming; voice over Internet Protocol; Data communication; Feedback; Genetic algorithms; Intelligent networks; Intserv networks; Network servers; Quality of service; Space exploration; Streaming media; Transport protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks, 2002. ICON 2002. 10th IEEE International Conference on
  • Print_ISBN
    0-7803-7533-5
  • Type

    conf

  • DOI
    10.1109/ICON.2002.1033355
  • Filename
    1033355