Efficient Spectrum Sensing Based on Evolutionary Game Theory in Cognitive Radio Networks 


Vol. 39,  No. 11, pp. 790-802, Nov.  2014


PDF
  Abstract

In cognitive radio technology, secondary users can determine the absence of PU by periodic sensing operation and cooperative sensing between SUs yields a significant sensing performance improvement. However, there exists a trade off between the gains in terms of probability of detection of the primary users and the costs of false alarm probability. Therefore, the cooperation group must maintain the suitable size. And secondary users should sense not only the currently using channels and but also other candidates channel to switch in accordance with sudden appearance of the primary user. In this paper, we propose an effective group cooperative sensing algorithm in distributed network situations that is considering both of inband and outband sensing using evolutionary game theory. We derived that the strategy group of secondary users converges to an ESS(Evolutionary sable state). Using a learning algorithm, each secondary user can converge to the ESS without the exchange of information to each other.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Kang and S. Yoo, "Efficient Spectrum Sensing Based on Evolutionary Game Theory in Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 790-802, 2014. DOI: .

[ACM Style]

Keon-Kyu Kang and Sang-Jo Yoo. 2014. Efficient Spectrum Sensing Based on Evolutionary Game Theory in Cognitive Radio Networks. The Journal of Korean Institute of Communications and Information Sciences, 39, 11, (2014), 790-802. DOI: .

[KICS Style]

Keon-Kyu Kang and Sang-Jo Yoo, "Efficient Spectrum Sensing Based on Evolutionary Game Theory in Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 790-802, 11. 2014.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880