• DocumentCode
    2919846
  • Title

    Connectivity analysis of group-based cognitive radio networks

  • Author

    Li, Xiukui ; Zekavat, Seyed A.

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cognitive radio nodes can form a wireless network automatically based on the “group” concept: In a given area, cognitive radio nodes are assumed to be activated randomly. Activated cognitive radio nodes form multiple “groups”. Each group consists of a leader node, some bridge nodes and regular nodes. Leader node is capable of communicating with any group member node, and bridge nodes connect different groups to form a scalable network. With this concept, incorporating the available spectrum, cognitive radio nodes can form a network without the constraint of common channel availability. This paper first proposes a scheme for the node communication, and then based on this scheme, analyzes the numbers of nodes and channels required to maintain full connectivity of the cognitive radio network formed for emergency situation. Finally, this paper investigates the connectivity of the group-based cognitive radio network with arbitrary topology.
  • Keywords
    cognitive radio; radio networks; arbitrary topology; bridge node; common channel availability; connectivity analysis; group-based cognitive radio networks; regular node; wireless network; Ad hoc networks; Bridges; Cognitive radio; Interference; Network topology; Topology; Wireless networks; Cognitive radio network; emergency communication network; network connectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2012 IEEE International Symposium on a
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4673-1238-7
  • Electronic_ISBN
    978-1-4673-1237-0
  • Type

    conf

  • DOI
    10.1109/WoWMoM.2012.6263753
  • Filename
    6263753