• DocumentCode
    1856582
  • Title

    AM-SRL: Adaptive Multicast operation of the Supernode-based Reverse Labeling algorithm

  • Author

    Dong, Yixin ; Yang, Tingzhou ; Makrakis, Dimitrios ; Lambadaris, Ioannis

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1412
  • Abstract
    In this paper, the supernode-based reverse labeling (SRL), a quality of service (QoS) routing algorithm for mobile ad hoc networks (MANET), is extended to provide adaptive multicast service. The algorithm, termed AM-SRL (Adaptive Multicast operation of Supernode-based Reverse Labeling), adaptively builds an on-demand multicast mesh by exploiting the hierarchical structure of SRL. The virtual route discovery process of SRL functions as multicast member distribution awareness agent in AM-SRL and the reverse route establishment algorithm enables the adaptive generation of the multicast mesh. AM-SRL guides the redundant level of the multicast mesh by introducing a partial mesh factor. The adaptivity of virtual route selection, reverse route establishment and mesh formation make the algorithm efficient, robust and reliable.
  • Keywords
    ad hoc networks; mobile radio; multicast protocols; quality of service; redundancy; routing protocols; AM-SRL; Adaptive Multicast operation of Supernode-based Reverse Labeling; MANET; QoS routing algorithm; hierarchical structure; mesh formation; mobile ad hoc networks; multicast member distribution awareness agent; on-demand multicast mesh; partial mesh factor; quality of service; redundant level; reverse route establishment algorithm; virtual route discovery; Clustering algorithms; Labeling; Mesh generation; Mobile ad hoc networks; Multicast algorithms; Multicast protocols; Peer to peer computing; Quality of service; Robustness; Routing protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-7514-9
  • Type

    conf

  • DOI
    10.1109/CCECE.2002.1012960
  • Filename
    1012960