• DocumentCode
    3195268
  • Title

    A Genetic Algorithm for the Routing Protocol Design of Wireless Mesh Networks

  • Author

    Yoon, Chang-Pyo ; Ryou, Hwang-Bin

  • Author_Institution
    Dept. of Comput. Sci., Kwangwoon Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    26-29 April 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless Mesh Network technology refers to technology that establishes a wireless network whose transmission speed is similar to that of a wired system. It provides enhanced flexibility in the building of the network, compared to the existing wired network. In addition, it has lower mobility and less restriction from the energy effect. However, there are many considerations, such as system overhead, in the case of the setting or the selection of multi-path. Accordingly, the focus is on the design and optimization of a network that can reflect this network feature and the technology to establish the path. This paper suggests methods for programming the dynamic path in Wireless Mesh Network routing. It does so by applying the evaluation value of node service, making use of the loss rate of data, the hop count of bandwidth and link, and the traffic status of the node. To respond to the programming of multi-path effectively it must consider the performance of the link and load in the fitness evaluation function.
  • Keywords
    genetic algorithms; routing protocols; wireless mesh networks; fitness evaluation function; genetic algorithm; multipath programming; multipath selection; node service; routing protocol design; wireless mesh network routing; Ad hoc networks; Bandwidth; Biological cells; Gallium; Genetics; Routing; Routing protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2011 International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4244-9222-0
  • Electronic_ISBN
    978-1-4244-9223-7
  • Type

    conf

  • DOI
    10.1109/ICISA.2011.5772428
  • Filename
    5772428