• DocumentCode
    2587336
  • Title

    Performance Evaluation of an Adaptive State Dependent Mean Delay Routing Algorithm for MANET

  • Author

    Ziane, Saïda ; Mellouk, Abdelhamid

  • Author_Institution
    Signal & Intell. Syst. Lab. - LISSI/SCTIC, Paris Univ., Paris
  • fYear
    2008
  • fDate
    6-8 Aug. 2008
  • Firstpage
    348
  • Lastpage
    353
  • Abstract
    In the few last years, there is an increasing need of QoS guarantees for multimedia and real time applications in mobile ad hoc networks. Therefore, routing protocols designed for mobile ad hoc networks must be adapted to support such needs. While several QoS routing protocols were proposed, adaptive routing has not be enough exploited We propose in this paper a new delay oriented adaptive routing protocol for mobile ad hoc networks. We integrate a mean delay estimation model at each node in our protocol in order to avoid synchronization problem. Adaptive mean delay routing (AMDR) protocol proposed in this paper uses two kinds of exploration packets having the task of gathering delay information of available paths and updating probabilistic routing tables. To reduce the overhead generated by AMDR protocol, we propose the use of a new MPR selection algorithm called flooding optimization algorithm (FOA) based on mean delay.
  • Keywords
    ad hoc networks; delay estimation; mobile radio; quality of service; routing protocols; MANET; QoS; adaptive state dependent mean delay routing algorithm; flooding optimization algorithm; mean delay estimation model; mobile ad hoc networks; performance evaluation; routing protocols; Delay effects; Delay estimation; Intelligent networks; Intelligent systems; Learning; Media Access Protocol; Mobile ad hoc networks; Multimedia systems; Neural networks; Routing protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference, 2008. IWCMC '08. International
  • Conference_Location
    Crete Island
  • Print_ISBN
    978-1-4244-2201-2
  • Electronic_ISBN
    978-1-4244-2202-9
  • Type

    conf

  • DOI
    10.1109/IWCMC.2008.61
  • Filename
    4599960