• DocumentCode
    3322524
  • Title

    Cluster-Based Spectrum Management Using Cognitive Radios in Wireless Mesh Network

  • Author

    Alsarhan, Ayoub ; Agarwal, Anjali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2009
  • fDate
    3-6 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wireless mesh networks (WMNs) have emerged recently to extend Internet access and other networking services. WMNs routers provide network access to the clients and other networking functions such as routing, and packet forwarding. Bandwidth scarcity is the main challenge that limits the performance of WMNs. Although considerable research has been conducted on spectrum allocation, spectrum management is still considered an important open problem. This problem can be solved using cognitive radio technology that allows radios to intelligently locate free frequencies and use them efficiently. In this work, we propose a new spectrum management scheme that supports local and global management for a wireless network. Our scheme is based on clusters where the coordinator for each cluster manages spectrum information by keeping the required information at cluster level and for the whole network. Our scheme provides robust operation against any cluster head failure, as well as clients mobility.
  • Keywords
    Internet; cognitive radio; telecommunication network management; wireless channels; Internet access; clients mobility; cluster based spectrum management; cognitive radios; global management; network access; packet forwarding; spectrum allocation; wireless mesh network; Bandwidth; Cognitive radio; Frequency; IP networks; Information management; Radio spectrum management; Routing; Web and internet services; Wireless mesh networks; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-4581-3
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2009.5235261
  • Filename
    5235261