I. Akiyldiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, A survey on sensor networks, IEEE Communications Magazine, vol.40, issue.8, pp.102-114, 2002.
DOI : 10.1109/MCOM.2002.1024422

H. M. Fahmy, Wireless Sensor Networks, Concepts, Applications, Experimentation and Analysis

N. Bouabdallah, M. E. Rivero-angeles, and B. Sericola, Continuous Monitoring Using Event-Driven Reporting for Cluster-Based Wireless Sensor Networks, IEEE Transactions on Vehicular Technology, vol.58, issue.7, pp.3460-3479, 2009.
DOI : 10.1109/TVT.2009.2015330

URL : https://hal.archives-ouvertes.fr/hal-00789581

M. M. Afsar and M. Tayarani-n, Clustering in sensor networks: A literature survey, Journal of Network and Computer Applications, vol.46, pp.198-226, 2015.
DOI : 10.1016/j.jnca.2014.09.005

W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications, vol.1, issue.4, pp.660-670, 2002.
DOI : 10.1109/TWC.2002.804190

K. Kredo and P. Mohapatra, Medium access control in wireless sensor networks, Computer Networks, vol.51, issue.4, pp.961-994, 2007.
DOI : 10.1016/j.comnet.2006.06.012

A. Verma, M. P. Singh, J. P. Singh, and P. Kumar, Survey of MAC Protocol for Wireless Sensor Networks, 2015 Second International Conference on Advances in Computing and Communication Engineering, pp.1-2, 2015.
DOI : 10.1109/ICACCE.2015.29

F. Fanian, M. K. Rafsanjani, and V. K. Bardsiri, A Survey of Advanced LEACH-based Protocols, International Journal of Energy, Information and Communications, vol.7, issue.1, pp.1-16, 2016.
DOI : 10.14257/ijeic.2016.7.1.01

P. Dabas and N. Gupta, LEACH and its Improved Versions-A Survey, Int. J. Sci. Eng. Res. 2015, vol.6, pp.184-188

O. Younis and S. Fahamy, Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach, IEEE INFOCOM 2004, pp.7-11, 2004.
DOI : 10.1109/INFCOM.2004.1354534

S. Bandyopadhyay and E. J. Coyle, An energy efficient hierarchical clustering algorithm for wireless sensor networks, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428), pp.30-31, 2003.
DOI : 10.1109/INFCOM.2003.1209194

M. C. Vuran and I. Akyildiz, Spatial correlation-based collaborative medium access control in wireless sensor networks, IEEE/ACM Transactions on Networking, vol.14, issue.2, pp.316-329, 2006.
DOI : 10.1109/TNET.2006.872544

I. Chatzigiannakis, A. Kinalis, and S. Nikoletseas, Wireless sensor networks protocols for efficient collision avoidance in multi-path data propagation, Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks , PE-WASUN '04, pp.8-16, 2004.
DOI : 10.1145/1023756.1023759

T. Alskaif, M. Guerrero-zapata, and B. Bellalta, Game theory for energy efficiency in Wireless Sensor Networks: Latest trends, Journal of Network and Computer Applications, vol.54, pp.33-61, 2015.
DOI : 10.1016/j.jnca.2015.03.011

W. Xuegang, Z. Xiaoping, F. Bin, Y. Liu, and Z. Wei, An energybalance and game-theory-based cluster formation method for wireless sensor networks, Int. J. Distrib. Sens. Netw, p.13, 2017.

M. Movassagh and H. S. Aghdasi, Game theory based node scheduling as a distributed solution for coverage control in wireless sensor networks, Engineering Applications of Artificial Intelligence, vol.65, pp.137-146, 2017.
DOI : 10.1016/j.engappai.2017.07.020

M. E. Rivero-angeles and I. Orea-flores, Tools for the selection of the transmission probability in the cluster formation phase for Event- Driven Wireless Sensor Networks, Rev. Fac. Ing. Univ. Antioq, vol.73, pp.101-110, 2014.

Y. E. Sagduyu and A. Ephremides, The problem of medium access control in wireless sensor networks, IEEE Wireless Communications, vol.11, issue.6, pp.44-53, 2004.
DOI : 10.1109/MWC.2004.1368896

H. Park and C. Jun, A simple and fast algorithm for K-medoids clustering, Expert Systems with Applications, vol.36, issue.2, pp.3336-3341, 2009.
DOI : 10.1016/j.eswa.2008.01.039

J. C. Dunn, A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics, vol.3, issue.3, pp.32-57, 1973.
DOI : 10.1080/01969727308546046

S. F. Oktu, Predictive Channel Access Scheme for Wireless Sensor Networks Using Received Signal Strength Statistics, Proceedings of the 2011 IEEE Consumer Communications and Networking Conference (CCNC), pp.8-11, 2011.

S. Tang and B. L. Mark, Modeling and analysis of opportunistic spectrum sharing with unreliable spectrum sensing, IEEE Transactions on Wireless Communications, vol.8, issue.4, pp.1934-1943, 2009.
DOI : 10.1109/T-WC.2008.080213

I. Suliman, J. Lehtomski, T. Brsysy, and K. Umebayashi, Analysis of Cognitive Radio Networks with Imperfect Sensing, Proceedings of the 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, pp.13-16, 2009.

X. Gelabert, O. Salient, and J. Pzrez-romero, Spectrum sharing in cognitive radio networks with imperfect sensing: A discrete-time Markov model, Computer Networks, vol.54, issue.14, pp.2519-2536, 2010.
DOI : 10.1016/j.comnet.2010.04.005

Z. Wang, Comparison of Four Kinds of Fuzzy C-Means Clustering Methods, 2010 Third International Symposium on Information Processing, pp.15-17, 2010.
DOI : 10.1109/ISIP.2010.133

J. Mei and L. Chen, Fuzzy relational clustering around medoids: A unified view. Fuzzy Sets Syst, pp.44-56, 2011.
DOI : 10.1016/j.fss.2011.06.009

R. Krishnapuram, A. Joshi, O. Nasraoui, and L. Yi, Low-complexity fuzzy relational clustering algorithms for Web mining, IEEE Transactions on Fuzzy Systems, vol.9, issue.4, pp.595-607, 2001.
DOI : 10.1109/91.940971