Spectrum Sensing-Energy efficient on Cluster Based Cooperative Cognitive Radio Networks
DOI:
https://doi.org/10.14738/tnc.41.1868Abstract
Cooperative Spectrum Sensing (CSS) is one of the proposed solutions to overcome the interference, path loss and shadowing effect. CSS is proposed also to enable secondary users to interact with the
primary users by exploiting spatial diversity. However, cooperative sensing is also facing one major issue which is the energy consumption in transmitting the sensing reports to the fusion center especially for a big numbers of cognitive radio users. In this paper, we propose a new cooperative spectrum sensing scheme based on group heads (GHs) where the cognitive users are sorted randomly into groups and the user having the highest SNR of reporting channel will be chosen to be the group head that will be authorized to send its sensing report to the fusion center. In the proposed scheme, only heads of groups are transmitting data to the FC which improves the green energy-saving cognitive communications in cognitive radio network. The simulation results show the high efficacy and efficiency of our scheme
References
Simon Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, Feb 2005.
III Mitola, J., “Software radios-survey, critical evaluation and future directions,” in Nationa Telesystems Conference, 1992. NTC-92.l, May 1992, pp. 13/15–13/23.
Zina Chkirbene. and Noureddine Hamdi., “A survey on spectrum management in cognitive radio networks,” Internationl Journal in Wireless and Mobile Computing, Feb 2013.
A. Bhowmick, S.D. Roy, and S. Kundu, “A hybrid cooperative spectrum sensing for cognitive radio networks in presence of fading,” in Twenty First National Conference on Communications (NCC), 2015, Feb 2015, pp. 1–6.
E.G. Larsson and M. Skoglund, “Cognitive radio in a frequency-planned environment: some basic limits,” IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 4800–4806, December 2008.
A. Sahai, N. N. Hoven, and R. Tandra, “Some fundamental limits on cognitive radio,” Proc. 42nd Annual Allerton Conf. on Commun., Cont., and Comp., Monticello, Illinois, USA, Oct 2004.
A.C. Sumathi and R. Vidhyapriya, “Security in cognitive radio networks - a survey,” in International Conference on Intelligent Systems Design and Applications (ISDA), 2012 12th, Nov 2012, pp. 114–118.
R. Saeed, “Cognitive radio and advanced spectrum management,” in Mosharaka International Conference on Communications, Computers and Applications, 2008. MIC-CCA 2008., Aug 2008, pp. xii–xii.
Z. Chkirbene and N. Hamdi, “Incremental relaying effect on the outage probability of correlated sources transmission,” in Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on, March 2013, pp. 1–6.
A. El Shafie, N. Al-Dhahir, and R. Hamila, “Exploiting sparsity of relay-assisted cognitive radio networks,” in Wireless Communications and Networking Conference (WCNC), 2015 IEEE, March 2015, pp. 1153–1158.
M. Cardenas-Juarez, U. Pineda-Rico, E. Stevens-Navarro, and M. Ghogho, “Sensing-throughput optimization for cognitive radio networks under outage constraints and hard decision fusion,” in International Conference on Electronics, Communications and Computers (CONIELECOMP), 2015, Feb 2015, pp. 80–86.
Zina Chkirbene. Mazen O Hasna .and Ridha Hamila and Noureddine Hamdi., “Location privacy preservation in secure crowd-sourcing based cooperative spectrum sensing,” EURASIP Journal on Wireless Communications and Networking, Nov 2015.
Q. Qin, “A study of data fusion and decision algorithms based on cooperative spectrum sensing,” Sixth International Conference on Fuzzy Systems and Knowledge Discovery, March 2009.
A. F. Molisch, “Wireless communications, second ed,” 2011.
Zhaowei Qu, Yang Xu, and Sixing Yin, “A novel clustering-based spectrum sensing in cognitive radio wireless sensor networks,” in Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on, Nov 2014, pp. 695–699.
Fan Deng, Zeng Fanzi, and Renfa Li, “Clustering-based compressive wide-band spectrum sensing in cognitive radio network,” in Mobile Ad-hoc and Sensor Networks, 2009. MSN ’09. 5th International Conference on, Dec 2009, pp. 218–222.
Ruiliang Chen, Jung-Min Park, and Kaigui Bian, “Robust distributed spectrum sensing in cognitive radio networks,” in The 27th Conference on Computer Communications. IEEE INFOCOM 2008., April 2008, pp. –.
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