• DocumentCode
    3596081
  • Title

    QoS Routing by Genetic Algorithm for LEO Satellite Networks

  • Author

    Zhang, Xuedong ; Ding, Longhua ; Rao, Yuan

  • Author_Institution
    Sch. of Inf. Eng., Anhui Univ. of Finance & Econ., Bengbu, China
  • Volume
    1
  • fYear
    2009
  • Firstpage
    341
  • Lastpage
    344
  • Abstract
    Due to the varying population density, some ISLs of satellite networks are congested while others are underutilized. To satisfy the QoS requirements of multimedia applications, satellite routing protocols should consider the issue of improving the utilization of network resource and providing better QoS guarantees such guaranteed end-to-end delay bound as new call blocking probability (CBP) and handover call blocking probability (HBP). This paper proposes a QoS routing protocol for LEO satellite networks using genetic algorithm. This protocol is called as Genetic Satellite Routing Protocol (GSRP). Some key factors including Fitness Function, Termination Function, and Routing Table, are newly taken into account. Simulation results show that GSRP is to achieve (1) guaranteed end-to-end delay bound with less CBP and HBP, and (2) more effective than traditional algorithms for load balancing.
  • Keywords
    genetic algorithms; multimedia communication; quality of service; routing protocols; satellite links; LEO satellite networks; QoS routing; call blocking probability; fitness function; genetic algorithm; genetic satellite routing protocol; handover call blocking probability; intersatellite links; multimedia applications; routing table; satellite routing protocols; termination function; Algorithm design and analysis; Artificial satellites; Costs; Design engineering; Electronic mail; Finance; Genetic algorithms; Genetic engineering; Low earth orbit satellites; Routing protocols; QoS; genetic algorithm; routing; satellite networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.93
  • Filename
    5370391