• DocumentCode
    2441415
  • Title

    Topological design of local area networks using genetic algorithms

  • Author

    Elbaum, Reuven ; Sidi, Moshe

  • Author_Institution
    Dept. of Electr. Eng., Israel Inst. of Technol., Haifa, Israel
  • fYear
    1995
  • fDate
    2-6 Apr 1995
  • Firstpage
    64
  • Abstract
    Continually growing number of users have to exchange increasing amounts of information. Local area networks (LANs) are commonly used as the communication infrastructure that meets the demands of the users in the local environment. These networks typically consist of several LAN segments connected together via bridges. The authors describe an algorithm for designing LANs with the objective of minimizing the average network delay. The topology design includes issues such as determination of the number of segments in the network, allocating the users to the different segments and determining the interconnections and routing among the segments. The determination of the optimal LAN topology is a complicated combinatorial optimisation problem. Therefore, a heuristic algorithm which is based on genetic ideas is used. Numerical examples are provided and the quality of the designs obtained by using the algorithm is compared with lower bounds on the average network delay that are developed
  • Keywords
    combinatorial mathematics; delays; genetic algorithms; local area networks; minimisation; network topology; telecommunication network routing; LAN; average network delay; bridges; combinatorial optimisation problem; communication infrastructure; genetic algorithms; heuristic algorithm; interconnections; local area networks; minimization; segments; topological design; Algorithm design and analysis; Bridges; Genetic algorithms; LAN interconnection; Local area networks; Media Access Protocol; Network topology; Routing; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM '95. Fourteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Bringing Information to People. Proceedings. IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    0743-166X
  • Print_ISBN
    0-8186-6990-X
  • Type

    conf

  • DOI
    10.1109/INFCOM.1995.515861
  • Filename
    515861