Self-organize network architecture for multi-agent cognitive radio systems

  • Qi Zhao*
  • , Shi Qin
  • , Zhijie Wu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

this paper presents self-organize network architecture for cognitive radio (CR). In order to increase the flexibility of CR, a division method and corresponding network keeping strategy is proposed in this paper, whose key part is finding the cutting edge in the interface graph. The TFCE (Tarjan-find-cutting-edge) algorithm is also given to find the cutting edge. On the basis of the division method a spectrum allocation model is introduced to research the effectiveness of the method for CR. The result shows the self-organize method could effectively add group's flexibility without affecting spectrum allocation utility or increasing system traffic.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011
Pages515-518
Number of pages4
DOIs
StatePublished - 2011
Event3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011 - Beijing, China
Duration: 10 Oct 201112 Oct 2011

Publication series

NameProceedings - 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011

Conference

Conference3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011
Country/TerritoryChina
CityBeijing
Period10/10/1112/10/11

Keywords

  • agent technology
  • cognitive radio
  • self-organize Network
  • spectrum management

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