• DocumentCode
    1865877
  • Title

    Supply and demand, a dynamic topology control method for mesh networks

  • Author

    Câmara, Daniel ; Bonnet, Christian

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia-Antipolis, France
  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    757
  • Lastpage
    762
  • Abstract
    This work describes a distributed and flexible mechanism to perform network admission control and topology management for wireless mesh networks. The proposed method uses the concept of supply and demand to dynamically organize the wireless network. Mesh networks deployment and topology control is an interesting problem since the needs of two sites, even though using the same kind of equipment and protocol stack, may vary significantly. A network structure that suits perfectly to one site may be unacceptable to other. Typical examples of this are Safety Networks (PSNs). The number of nodes, movement pattern, traffic requirements and interconnections vary significantly from one site to another, even though the equipments, protocols and attending people are basically the same. Having one set of algorithms and protocols for each situation is not an option, giving its cost and deployment complexity. The technique, described here, successfully manages to maintain the desired topology and handle the different requirements, relying only upon a cost function to dynamically control the topology.
  • Keywords
    protocols; telecommunication congestion control; telecommunication network management; telecommunication network topology; wireless mesh networks; dynamic topology control method; network admission control; protocol stack; topology management; wireless mesh networks; Europe; Logic gates; Proposals; Welding; cluster heads; connection cost; mesh networks; topology control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
  • Conference_Location
    Moscow
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4244-7285-7
  • Type

    conf

  • DOI
    10.1109/ICUMT.2010.5676551
  • Filename
    5676551