. Men, C. Shaoyang, P. Pascal, and S. , A Robust and Energy Efficient Cooperative Spectrum Sensing Scheme in Cognitive Wireless Sensor Networks, Network Protocols and Algorithms, vol.7, issue.3, pp.140-156, 2015.
DOI : 10.5296/npa.v7i3.8254
URL : https://hal.archives-ouvertes.fr/hal-01227013

. Men, C. Shaoyang, P. Pascal, and S. , Spectrum sensing with small sample size for wireless sensor network devices, IET Communications

. Men, C. Shaoyang, P. Pascal, and S. , Cooperative spectrum sensing with small sample size in cognitive wireless sensor networks

. Men, C. Shaoyang, P. Pascal, and S. , A robust cooperative spectrum sensing method against faulty nodes in CWSNs, 2015 IEEE International Conference on Communication Workshop (ICCW), pp.334-339, 2015.
DOI : 10.1109/ICCW.2015.7247201
URL : https://hal.archives-ouvertes.fr/hal-01128622

P. Leaves, K. Moessner, R. Tafazolli, D. Grand-blaise, D. Bourse et al., Dynamic spectrum allocation in composite reconfigurable wireless networks, IEEE Communications Magazine, vol.42, issue.5, pp.4272-81, 2004.
DOI : 10.1109/MCOM.2004.1299346

Q. Zhao, . M. Brian, and . Sadler, A Survey of Dynamic Spectrum Access, IEEE Signal Processing Magazine, vol.24, issue.3, pp.79-89, 2007.
DOI : 10.1109/MSP.2007.361604

E. Hossain, D. Niyato, Z. And, and . Han, Dynamic Spectrum Access and Management in Cognitive Radio Networks, p.20, 2009.
DOI : 10.1017/CBO9780511609909

A. Rahim, S. Zeisberg, A. And, and . Finger, Coexistence Study between UWB and WiMax at 3.5 GHz Band, 2007 IEEE International Conference on Ultra-Wideband, 2007.
DOI : 10.1109/ICUWB.2007.4381075

J. Mitola, I. And, and G. Q. Maguire, Cognitive radio: making software radios more personal, IEEE Personal Communications, vol.6, issue.4, pp.13-18, 1999.
DOI : 10.1109/98.788210

E. Fcc, Docket No 02-135. Spectrum Policy Task Force Report, 2002.

I. F. Akyildiz, W. Lee, A. Kaushik, and . Chowdhury, CRAHNs: Cognitive radio ad hoc networks, AD hoc networks, pp.810-836, 2009.
DOI : 10.1016/j.adhoc.2009.01.001

E. Axell, G. Leus, E. G. Larsson, and A. H. Vincent, Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances, IEEE Signal Processing Magazine, vol.29, issue.3
DOI : 10.1109/MSP.2012.2183771

I. F. Akyildiz, B. F. Lo, R. And, and . Balakrishnan, Cooperative spectrum sensing in cognitive radio networks: A survey, Physical Communication, vol.4, issue.1, pp.40-62, 2011.
DOI : 10.1016/j.phycom.2010.12.003

O. Akan, . Osman-b, . Karli, O. And, and . Ergul, Cognitive radio sensor networks, IEEE Network, vol.23, issue.4, pp.34-40, 2009.
DOI : 10.1109/MNET.2009.5191144

L. Rugini, P. Banelli, G. And, and . Leus, Small Sample Size Performance of the Energy Detector, IEEE Communications Letters, vol.17, issue.9, pp.1814-1817, 2013.
DOI : 10.1109/LCOMM.2013.080813.131399

Y. Zeng and Y. Liang, Maximum-Minimum Eigenvalue Detection for Cognitive Radio, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, pp.1-5, 2007.
DOI : 10.1109/PIMRC.2007.4394211

T. J. Lim, R. Zhang, Y. C. Liang, and A. Y. Zeng, GLRT-Based Spectrum Sensing for Cognitive Radio, IEEE GLOBECOM 2008, 2008 IEEE Global Telecommunications Conference, pp.1-5, 2008.
DOI : 10.1109/GLOCOM.2008.ECP.842

Y. Zeng and Y. Liang, Spectrum-sensing algorithms for cognitive radio based on statistical covariances. Vehicular Technology, IEEE Transactions on, vol.58, issue.43, pp.1804-1815, 2009.

A. Taherpour, M. Nasiri-kenari, and A. Saeed-gazor, Multiple antenna spectrum sensing in cognitive radios, IEEE Transactions on Wireless Communications, vol.9, issue.2, pp.814-823, 2010.
DOI : 10.1109/TWC.2009.02.090385

F. Lin, R. C. Qiu, Z. Hu, S. Hou, J. P. Browning et al., Generalized FMD Detection for Spectrum Sensing under Low Signal-to-Noise Ratio, IEEE Communications Letters, vol.16, issue.5, pp.604-607, 2012.
DOI : 10.1109/LCOMM.2012.030512.112164

S. M. Kay, Fundamentals of Statistical Signal Processing: Detection theory, pp.29-32, 1998.

M. Subhedar, . Gajanan, and . Birajdar, Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey, International Journal of Next-Generation Networks, vol.3, issue.2, pp.37-51, 2011.
DOI : 10.5121/ijngn.2011.3203

T. Yücek, . Hüseyin-arslan-zhi, S. Quan, A. H. Cui, A. H. Sayed et al., A survey of spectrum sensing algorithms for cognitive radio applications, IEEE Communications Surveys & Tutorials, vol.11, issue.1, pp.116-130, 2009.
DOI : 10.1109/SURV.2009.090109

J. Cf and D. Winter, Using the Student's t-test with extremely small sample sizes. Practical Assessment, Research & Evaluation, vol.18, issue.10, pp.1-12, 2013.

M. A. Stephens, EDF Statistics for Goodness of Fit and Some Comparisons, Journal of the American Statistical Association, vol.10, issue.1, pp.730-737, 1924.
DOI : 10.1111/j.1467-9574.1967.tb00548.x

S. Haykin, Cognitive radio, IEEE Journal on, vol.23, issue.2, pp.201-220, 2005.
DOI : 10.1017/CBO9780511818363.008

B. Wang and K. Liu, Advances in cognitive radio networks: A survey . Selected Topics in Signal Processing, IEEE Journal, vol.5, issue.29, pp.5-23, 2011.

C. Cordeiro, K. Challapali, D. Birru, A. Nov, . Shankar et al., 22: the first worldwide wireless standard based on cognitive radios, New Frontiers in Dynamic Spectrum Access Networks, First International Symposium on, pp.328-337, 2005.

A. Sahai, R. Tandra, and A. M. Mishra, Spectrum sensing: Fundamental limits. draft of the book chapter, Cognitive Radios: System Design Perspective, p.30, 2009.

D. Cabric, A. Tkachenko, A. Robert, and . Brodersen, Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection, MILCOM 2006, pp.1-7, 2006.
DOI : 10.1109/MILCOM.2006.301994

G. Prasad, J. Seung-yeob, A. Nam, . Sung, and . Kim, Cognitive radio wireless sensor networks: applications, challenges and research trends, Sensors, vol.13, issue.9, pp.11196-11228, 2013.

D. Cabric, S. Mubaraq-mishra, A. Robert, and . Brodersen, Implementation issues in spectrum sensing for cognitive radios In Signals, systems and computers, The Thirty Eighth Asilomar Conference on, pp.772-776, 2004.

D. Bhargavi, . Chandra, and . Murthy, Performance comparison of energy, matched-filter and cyclostationarity-based spectrum sensing The Eleventh International Workshop on, Signal Processing Advances in Wireless Communications (SPAWC), pp.1-5, 2010.

S. Kapoor, S. Rao, G. And, and . Singh, Opportunistic Spectrum Sensing by Employing Matched Filter in Cognitive Radio Network, 2011 International Conference on Communication Systems and Network Technologies, pp.580-583, 2011.
DOI : 10.1109/CSNT.2011.124

M. Öner and F. Jondral, Cyclostationarity based air interface recognition for software radio systems, Proceedings. 2004 IEEE Radio and Wireless Conference (IEEE Cat. No.04TH8746), pp.263-266, 2004.
DOI : 10.1109/RAWCON.2004.1389125

P. Urriza, E. Rebeiz, D. And, and . Cabric, Multiple antenna cyclostationary spectrum sensing based on the cyclic correlation significance test. Selected Areas in Communications, IEEE Journal on, issue.11, pp.312185-2195, 2013.

J. Wu, T. Luo, and A. Guangxin-yue, An Energy Detection Algorithm Based on Double-Threshold in Cognitive Radio Systems, 2009 First International Conference on Information Science and Engineering, pp.493-496, 2009.
DOI : 10.1109/ICISE.2009.257

C. Liu, M. Li, and A. Jin, Blind Energy-based Detection for Spatial Spectrum Sensing, IEEE Wireless Communications Letters, vol.4, issue.1, pp.98-101, 2015.
DOI : 10.1109/LWC.2014.2377233

H. Tang, Some physical layer issues of wide-band cognitive radio systems, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005, pp.151-159, 2005.

A. Sahai, R. Tandra, S. Mubaraq-mishra, N. And, and . Hoven, Fundamental design tradeoffs in cognitive radio systems, Proceedings of the first international workshop on Technology and policy for accessing spectrum , TAPAS '06, pp.2-31, 2006.
DOI : 10.1145/1234388.1234390

M. A. Iqbal and . Ghafoor, Analysis of Multiband Joint Detection Framework for Waveform-Based Sensing in Cognitive Radios, 2012 IEEE Vehicular Technology Conference (VTC Fall), pp.1-5, 2012.
DOI : 10.1109/VTCFall.2012.6399372

Y. Zeng, C. Leng-koh, Y. And, and . Liang, Maximum Eigenvalue Detection: Theory and Application, 2008 IEEE International Conference on Communications, pp.4160-4164, 2008.
DOI : 10.1109/ICC.2008.781

F. Penna, R. Garello, A. Maurizio, and . Spirito, Cooperative spectrum sensing based on the limiting eigenvalue ratio distribution in wishart matrices, IEEE Communications Letters, vol.13, issue.7, pp.507-509, 2009.
DOI : 10.1109/LCOMM.2009.090425

Y. Zeng and Y. Liang, Eigenvalue-based spectrum sensing algorithms for cognitive radio, IEEE Transactions on Communications, vol.57, issue.6, pp.1784-1793, 2009.
DOI : 10.1109/TCOMM.2009.06.070402

X. Yang, K. Lei, S. Peng, X. And, and . Cao, Blind Detection for Primary User Based on the Sample Covariance Matrix in Cognitive Radio, IEEE Communications Letters, vol.15, issue.1, pp.40-42, 2011.
DOI : 10.1109/LCOMM.2010.111910.101278

A. Kortun, T. Ratnarajah, M. Sellathurai, C. Zhong, A. B. Constantinos et al., On the performance of eigenvalue-based cooperative spectrum sensing for cognitive radio. Selected Topics in Signal Processing, IEEE Journal, vol.5, issue.1, pp.49-55, 2011.

N. Pillay, . Hj, and . Xu, Blind eigenvalue-based spectrum sensing for cognitive radio networks, IET Communications, vol.6, issue.11, pp.1388-1396, 2012.
DOI : 10.1049/iet-com.2011.0506

A. Bollig, R. M. Mmme, and D. , MMME and DME: Two new eigenvalue-based detectors for spectrum sensing in cognitive radio, 2013 IEEE Global Conference on Signal and Information Processing, pp.1210-1213
DOI : 10.1109/GlobalSIP.2013.6737125

L. Huang, J. Fang, K. Liu, H. Cheung, . So et al., An Eigenvalue-Moment-Ratio Approach to Blind Spectrum Sensing for Cognitive Radio Under Sample-Starving Environment. Vehicular Technology, IEEE Transactions on, vol.64, issue.46, pp.3465-3480, 2015.

Y. Norouzi, F. Gini, M. Nayebi, and A. M. Greco, Non-coherent radar CFAR detection based on goodness-of-fit tests, IET Radar, Sonar & Navigation, vol.1, issue.2, pp.98-105, 2007.
DOI : 10.1049/iet-rsn:20060032

H. Wang and W. Zhang, Anderson-Darling Sensing of Existence of Unknown Signals in a Fading Channel, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp.1519-1522, 2009.
DOI : 10.1109/WICOM.2009.5301617

L. Shen, H. Wang, W. Zhang, A. Zhijin, and . Zhao, Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty, IEEE Transactions on Wireless Communications, vol.10, issue.6, pp.1721-1724, 2011.
DOI : 10.1109/TWC.2011.040511.101559

N. Koo, Empirical distribution-based event detection in wireless sensor networks: an approach based on evidence theory, Sensors Journal IEEE, vol.12, issue.6, pp.2222-2228, 2012.

K. Arshad and K. Moessner, Robust spectrum sensing based on statistical tests, IET Communications, vol.7, issue.9, pp.808-817, 2013.
DOI : 10.1049/iet-com.2012.0499

N. Kundargi, Y. Liu, A. And, and . Tewfik, A Framework for Inference Using Goodness of Fit Tests Based on Ensemble of Phi-Divergences, IEEE Transactions on Signal Processing, vol.61, issue.4, pp.945-955, 2013.
DOI : 10.1109/TSP.2012.2226448

M. Jin, Q. Guo, J. Xi, Y. And, and . Yu, Spectrum sensing based on goodness of fit test with unilateral alternative hypothesis, Electronics Letters, vol.50, issue.22, pp.1645-1646, 2014.
DOI : 10.1049/el.2014.2154

D. Patel and Y. Trivedi, Goodness-of-fit-based non-parametric spectrum sensing under Middleton noise for cognitive radio, Electronics Letters, vol.51, issue.5, pp.419-421, 2015.
DOI : 10.1049/el.2014.3780

Z. Tian, . Georgios, and . Giannakis, Compressed Sensing for Wideband Cognitive Radios, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.1357-1388, 2007.
DOI : 10.1109/ICASSP.2007.367330

J. A. Tropp, J. N. Laska, M. F. Duarte, J. K. Romberg, A. Richard et al., Beyond Nyquist: Efficient sampling of sparse bandlimited signals Information Theory Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios, IEEE Transactions on Signal Processing IEEE Transactions on, vol.56, issue.111, pp.520-544, 2010.

A. Sahai, N. Hoven, R. And, and . Tandra, Some Fundamental Limits on Cognitive Radio, Forty-second Allerton Conference on Communication , Control, and Computing, p.33, 2004.

W. A. Gardner, Exploitation of spectral redundancy in cyclostationary signals, IEEE Signal Processing Magazine, vol.8, issue.2, pp.14-36, 1991.
DOI : 10.1109/79.81007

A. Giannakis, Statistical tests for presence of cyclostationarity, Signal Processing IEEE Transactions on, vol.42, issue.36, pp.2355-2369, 1994.

S. Enserink and D. Cochran, A cyclostationary feature detector, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers, pp.806-810, 1994.
DOI : 10.1109/ACSSC.1994.471573

M. Öner and F. Jondral, Air interface identification for Software Radio systems, AEU - International Journal of Electronics and Communications, vol.61, issue.2, pp.104-117, 2007.
DOI : 10.1016/j.aeue.2006.03.005

J. Lundén, V. Koivunen, A. Huttunen, and A. H. Vincent, Spectrum Sensing in Cognitive Radios Based on Multiple Cyclic Frequencies, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp.37-43, 2007.
DOI : 10.1109/CROWNCOM.2007.4549769

V. Turunen, M. Kosunen, A. Huttunen, S. Kallioinen, P. Ikonen et al., Implementation of Cyclostationary Feature Detector for Cognitive Radios, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp.1-4, 2009.
DOI : 10.1109/CROWNCOM.2009.5188993

F. , M. Alouini, A. Marvin, and . Simon, On the energy detection of unknown signals over fading channels, Communications , 2003. ICC'03. IEEE International Conference on, pp.3575-3579, 2003.

R. F. Mills, . Glenn, and . Prescott, A comparison of various radiometer detection models. Aerospace and Electronic Systems, IEEE Transactions on, vol.32, issue.1, pp.467-473, 1996.

S. Ciftci and . Murat-torlak, A Comparison of Energy Detectability Models for Spectrum Sensing, IEEE GLOBECOM 2008, 2008 IEEE Global Telecommunications Conference, pp.1-5, 2008.
DOI : 10.1109/GLOCOM.2008.ECP.578

A. Sahai, . Danijela, and . Cabric, Spectrum sensing: fundamental limits and practical challenges, Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), p.41, 2005.

R. Tandra and A. Sahai, Fundamental limits on detection in low SNR under noise uncertainty, 2005 International Conference on Wireless Networks, Communications and Mobile Computing, pp.464-469, 2005.
DOI : 10.1109/WIRLES.2005.1549453

S. Wang and . Nazanin-rahnavard, Eigenvalue-based cooperative spectrum sensing with finite samples/sensors, Information Sciences and Systems (CISS), 2012 46th Annual Conference on, pp.1-5, 2012.

F. Lin, R. C. Qiu, A. James, and P. Browning, Spectrum sensing with small-sized data sets in cognitive radio: Algorithms and analysis. Vehicular Technology, IEEE Transactions on, vol.64, issue.1, pp.77-87, 2015.

N. Mohd, R. And, . Bee, and . Wah, Power comparisons of shapiro-wilk, kolmogorov-smirnov, lilliefors and anderson-darling tests, Journal of Statistical Modeling and Analytics, vol.2, issue.1, pp.21-33, 2011.

R. D. Agostino and A. M. Stephens, Goodness-of-fit-techniques, 68, p.47, 1986.

D. Teguig, V. Le-nir, and A. B. Scheers, Spectrum sensing method based on goodness of fit test using chi-square distribution, Electronics Letters, vol.50, issue.9, pp.713-715, 2014.
DOI : 10.1049/el.2014.0302

D. Teguig, V. Le-nir, and A. B. Scheers, Spectrum sensing method based on likelihood ratio goodness-of-fit test, Electronics Letters, vol.51, issue.3, pp.253-255, 2015.
DOI : 10.1049/el.2014.3579

H. Wang, E. Yang, Z. Zhao, W. And, and . Zhang, Spectrum sensing in cognitive radio using goodness of fit testing, IEEE Transactions on Wireless Communications, vol.8, issue.11, pp.5427-5430, 2009.
DOI : 10.1109/TWC.2009.081586

G. Zhang, X. Wang, Y. Liang, J. And, and . Liu, Fast and Robust Spectrum Sensing via Kolmogorov-Smirnov Test, IEEE Transactions on Communications, vol.58, issue.12, pp.3410-3416, 2010.
DOI : 10.1109/TCOMM.2010.11.090209

D. L. Donoho, Compressed sensing. Information Theory, IEEE Transactions on, vol.52, issue.4, pp.1289-1306, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00369486

F. Zeng, C. Li, Z. And, and . Tian, Distributed compressive spectrum sensing in cooperative multihop cognitive networks. Selected Topics in Signal Processing, IEEE Journal, vol.5, issue.1, pp.37-48, 2011.

K. Hossain, . Benoît, and . Champagne, Wideband Spectrum Sensing for Cognitive Radios With Correlated Subband Occupancy, IEEE Signal Processing Letters, vol.18, issue.1, pp.35-38, 2011.
DOI : 10.1109/LSP.2010.2091405

Z. Quan, S. Cui, H. Vincent-poor, A. Ali, and . Sayed, Collaborative wideband sensing for cognitive radios, IEEE Signal Processing Magazine, vol.25, issue.6, pp.60-73, 2008.
DOI : 10.1109/MSP.2008.929296

W. Zhang, R. K. Mallik, K. And, and . Letaief, Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks, IEEE Transactions on Wireless Communications, vol.8, issue.12, pp.5761-5766, 2009.
DOI : 10.1109/TWC.2009.12.081710

J. Ma, G. Zhao, Y. And, and . Li, Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks, IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, pp.4502-4507, 2008.
DOI : 10.1109/GLOCOM.2007.594

P. Qihang, Z. Kun, W. Jun, L. And, and . Shaoqian, A distributed spectrum sensing scheme based on credibility and evidence theory in cognitive radio context. In Personal, indoor and mobile radio communications, IEEE 17th international symposium on, pp.1-5, 2006.

S. Atapattu, C. Tellambura, H. And, and . Jiang, Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks, IEEE Transactions on Wireless Communications, vol.10, issue.4
DOI : 10.1109/TWC.2011.012411.100611

B. Khaleghi, A. Khamis, F. O. Karray, A. Saiedeh, and . Razavi, Multisensor data fusion: A review of the state-of-the-art, Information Fusion, vol.14, issue.1, pp.28-44, 2013.
DOI : 10.1016/j.inffus.2011.08.001

Z. Chair, . Pramod, and . Varshney, Optimal data fusion in multiple sensor detection systems. Aerospace and Electronic Systems, IEEE Transactions on, issue.1, pp.98-101, 1986.

L. Zadeh, Information and control. Fuzzy sets, pp.338-353, 1965.

G. Shafer and E. Al, A mathematical theory of evidence, 1. Princeton university press Princeton, pp.61-85, 1976.

N. Koo, Evidence-theory-based cooperative spectrum sensing with efficient quantization method in cognitive radio. Vehicular Technology, IEEE Transactions on, vol.60, issue.63, pp.185-195, 2011.

Y. Han, Q. Chen, and A. Wang, An enhanced DS theory cooperative spectrum sensing algorithm against SSDF attack, Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th, pp.1-5
DOI : 10.1109/vetecs.2012.6240040

J. Wang, S. Feng, Q. Wu, X. Zheng, Y. Xu et al., A robust cooperative spectrum sensing scheme based on Dempster-Shafer theory and trustworthiness degree calculation in cognitive radio networks, EURASIP Journal on Advances in Signal Processing, vol.2014, issue.1, pp.1-12, 2014.
DOI : 10.1109/TIT.2004.840879

C. Forbes, M. Evans, N. Hastings, and A. B. Peacock, Statistical Distributions . Wiley series in probability and statistics, p.69, 2011.
DOI : 10.1002/9780470627242

Q. Chen, A. Whitbrook, U. Aickelin, and A. Chris-road-knight, Data classification using the Dempster???Shafer method, Journal of Experimental & Theoretical Artificial Intelligence, vol.7, issue.4, pp.493-517, 2014.
DOI : 10.1016/j.ymssp.2004.10.010

Y. Soo, C. , J. Kim, Y. Won, A. Yang et al., MIMO-OFDM wireless communications with MATLAB, p.82, 2010.

C. Xiao, Y. Rosa-zheng, A. Norman, and . Beaulieu, Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels, IEEE Transactions on Wireless Communications, vol.5, issue.12, pp.3667-3679, 2006.
DOI : 10.1109/TWC.2006.256990

A. M. Tulino-and-s and . Verdú, Random Matrix Theory and Wireless Communications . Foundations and trends in communications and information theory. Lightning Source, p.85, 2004.

I. M. Johnstone, On the distribution of the largest eigenvalue in principal components analysis, Annals of statistics, vol.84, issue.85, pp.295-327, 2001.

C. A. and T. Al, On orthogonal and symplectic matrix ensembles Accuracy of the Tracy?Widom limits for the extreme eigenvalues in white Wishart matrices, Communications in Mathematical Physics Bernoulli, vol.177, issue.181, pp.727-754, 1996.

M. Dieng, Distribution functions for edge eigenvalues in orthogonal and symplectic ensembles: Painlevé representations, International Mathematics Research Notices, issue.37, pp.2263-2287, 2005.

I. Garrison, R. Martin, W. Sethares, B. Hart, W. Chung et al., DTV channel characterization, Conference on Information Sciences and Systems (CISS), p.90, 2001.

M. Bhardwaj, . Anantha, and . Chandrakasan, Bounding the lifetime of sensor networks via optimal role assignments, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, pp.1587-1596, 2002.
DOI : 10.1109/INFCOM.2002.1019410

R. Chen, J. Park, Y. Thomas-hou, A. Jeffrey, and . Reed, Toward secure distributed spectrum sensing in cognitive radio networks, IEEE Communications Magazine, vol.46, issue.4, pp.50-55, 2008.
DOI : 10.1109/MCOM.2008.4481340

R. Xu, D. Wunsch, and E. Al, Survey of Clustering Algorithms, IEEE Transactions on Neural Networks, vol.16, issue.3, pp.645-678, 2005.
DOI : 10.1109/TNN.2005.845141

A. Ahmed, A. And, and M. Younis, A survey on clustering algorithms for wireless sensor networks, Computer communications, vol.30, issue.14, pp.2826-2841, 2007.

J. Macqueen and E. Al, Some methods for classification and analysis of multivariate observations, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, pp.281-297, 1967.

C. Wolf, Energy efficient techniques for cooperative spectrum sensing in cognitive radios, Consumer Communications and Networking Conference CCNC 2008. 5th IEEE, pp.968-972, 2008.

W. Xia, S. W. , W. Liu, W. And, and . Chen, Clusterbased energy efficient cooperative spectrum sensing in cognitive radios