International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.3, No.2, Mar. 2011

Cooperative Spectrum Sensing and Weighted-Clustering Algorithm for Cognitive Radio Network

Full Text (PDF, 291KB), PP.20-27

Views:101   Downloads:1


Huiheng Liu,Wei Chen

Index Terms

Weighted-clustering, cooperative spectrum sensing, cogntive radio, energy detection, primary user, secondary user


Cognitive radio is a promising technique for efficient utilization of idle authorized spectrum since it is able to sense the spectrum and reuse the frequency when the primary user is absent. In order to overcome the fading, shadowing or hidden terminals in independent detection, cooperative detection is presented. The performance of cooperative sensing is studied in this paper. To enhance the sensing ability, some weighted-cooperative spectrum sensing techniques have been proposed. In this paper, different from the previous studies, we propose a novel weighted-clustering cooperative spectrum sensing algorithm based on distances for cognitive radio network. We firstly classify the secondary users into a few clusters according to several existent methods, and then use cluster-head to collect the observation results come from different secondary users in the same cluster and make a cluster-decision. Considering the different distances between the clusters and the fusion center, different weightings are used to weight the cluster-decisions before combining. The simulation results show that our proposed method improve the probability of detection and reduce the probability of error.

Cite This Paper

Huiheng Liu,Wei Chen,"Cooperative Spectrum Sensing and Weighted-Clustering Algorithm for Cognitive Radio Network", IJIEEB, vol.3, no.2, pp.20-27, 2011.


[1]Federal Communications Commision, “Spectrum Policy Task Force,” Rep. ET Docket no.02-135, Nov. 2002.

[2]C. Cordeiro, K. Challapali, D. Birru, and Sai Shankar N, “IEEE 802.22: the first worldwide wireless standard based on cognitive radios,” in Proc. 1st IEEE symp. New Frontiers in Dynamic Spectrum Access Networks, Baltimore, USA, Nov. 8-11, 2005, pp. 328-337.

[3]IEEE 802.22, Working Group on Wireless Regional Area Networks (WRAN), groups /802/22

[4]J. Mitola and G. Q. Maguire, “Cognitive Radio: Making Software Radios More Personal,” IEEE Pers, Commun., vol 6, pp. 13-18,Aug. 1999.

[5]Simon Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, February 2005. 

[6]D. Cabric, S. M. Mishra, and R. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios,” in Proc. 38th Asilomar Conf. Signals, Systems and Computers, Pacific Grove,CA, pp. 772-776, November 2004.

[7]A. Sahai, N. Hven, and R. Tandra, “Some fundamental limits on cognitive radio,” in Proceedings of Allerton Conference of Communications, Control and Computing, pp.131-136, Oct.2004.

[8]I. F. Akyildiz et al., “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Elsevier Computer Networks, vol.50, pp.2127-2159, Sep.2006.

[9]D. Cabric, S. M. Mishra, and R. W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios,” in proceedings of Asilomar Conference 2004, pp.772-776, Nov. 2004.

[10]Yi-bing Li, Xing Liu, Wei Meng, “Multi-node Spectrum Detection Based on the Credibility in Cognitive Radio System,’ 5th International Conference on Wireless Communication, Networking and Mobile Computing, pp. 1-4, 2009.

[11]Xiaoge Huang, Ning Han, Guabo Zheng, Sunghwan sohn, Jaemoung Kim, “Weighted-Collaborative Spectrum Sensing in Cognitive Radio,” 2nd International Conference on Communications and Networking in China, pp. 110-114, 2007.

[12]Q.Buyanjargal, Y. Kwon, “An Energy Efficient Clustering Algorithm for Event-Driven Wireless Sensor Networks(EECED),” 2009 5th International Joint Conference on INC, IMS and IDC, pp. 1758-1763, 2009.

[13]F. Tashtarian, A.T.Haghighat, M.T.Honary,H.Shokrzadeh, “A New Energy-Efficient Clustering Algorithm for Wireless Sensor Networks,” 15th International Conference on Software, Telecommunicaions and Computer Networks, pp. 1-6, 2007.

[14]Do-hyun Nam, Hong-ki Min, “An Energy-Efficient Clustering Using a Routed-Robin Method in a Wireless Sensor Network,” 5th International Conference on Software Engineering Research, Management and Applicaions, pp. 54-60, 2007.

[15]M.Shemshaki, H.S.Shahhoseini, “Energy Efficient Clustering Alogorithm with Multi-hop Transmission,” 8th International Conference on Embedded Computing, pp. 459-462, 2009.