N. Amini, A. Vahdatpour, W. Xu, M. Gerla, and M. Sarrafzadeh, Cluster size optimization in sensor networks with decentralized cluster-based protocols, Computer Communications, vol.35, issue.2, pp.207-220, 2012.
DOI : 10.1016/j.comcom.2011.09.009

A. D. Amis, R. Prakash, T. H. Vuong, and D. T. Huynh, Max-min d-cluster formation in wireless ad hoc networks, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), pp.32-41, 2000.
DOI : 10.1109/INFCOM.2000.832171

H. Attiya and J. Welch, Distributed computing : fundamentals, simulations, and advanced topics. Wiley series on Parallel and Distributed Computing, 2004.
DOI : 10.1002/0471478210

M. Ba, O. Flauzac, B. S. Haggar, F. Nolot, and I. Niang, Self-stabilizing k-hops clustering algorithm for wireless ad hoc networks, Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC '13, pp.1-3810, 2013.
DOI : 10.1145/2448556.2448594

M. Ba and O. Flauzac, Rafik Makhloufi, Florent Nolot, and Ibrahima Niang. Comparison Between Self-Stabilizing Clustering Algorithms in Message-Passing Model, 9th ICAS, pp.27-32, 2013.

M. Ba, O. Flauzac, and R. Makhloufi, Florent Nolot, and Ibrahima Niang. Energy- Aware Self-Stabilizing Distributed Clustering Protocol for Ad Hoc Networks : the case of WSNs, KSII Transactions on Internet and Information Systems, p.19, 2013.

M. Ba, O. Flauzac, R. Makhloufi, F. Nolot, and I. Niang, Evaluation Study of Self-Stabilizing Cluster-Head Election Criteria in WSNs, 6th CTRQ, pp.64-69, 2013.

L. Blin, M. Gradinariu-potop-butucaru, and S. Rovedakis, Self-stabilizing minimum degree spanning tree within one from the optimal degree, JPDC, pp.438-449, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01151868

A. Bui, A. Kudireti, and D. Sohier, A Fully Distributed Clustering Algorithm Based on Random Walks, 2009 Eighth International Symposium on Parallel and Distributed Computing, pp.125-128, 2009.
DOI : 10.1109/ISPDC.2009.21

A. Bui, D. Sohier, and A. Kudireti, A random walk based clustering with local recomputations for mobile ad hoc networks, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), pp.1-8, 2010.
DOI : 10.1109/IPDPSW.2010.5470836

F. Cappello, Grid'5000: a large scale and highly reconfigurable grid experimental testbed, The 6th IEEE/ACM International Workshop on Grid Computing, 2005., pp.99-106, 2005.
DOI : 10.1109/GRID.2005.1542730

URL : https://hal.archives-ouvertes.fr/hal-00684943

E. Caron, A. K. Datta, B. Depardon, and L. L. Larmore, A self-stabilizing -clustering algorithm for weighted graphs, Journal of Parallel and Distributed Computing, vol.70, issue.11, pp.1159-1173, 2010.
DOI : 10.1016/j.jpdc.2010.06.009

URL : https://hal.archives-ouvertes.fr/hal-00758590

A. Chamam and S. Pierre, A distributed energy-efficient clustering protocol for wireless sensor networks, Computers & Electrical Engineering, vol.36, issue.2, pp.303-312, 2010.
DOI : 10.1016/j.compeleceng.2009.03.008

A. Datta, L. Larmore, and P. Vemula, Self-Stabilizing Leader Election in Optimal Space, SSS, pp.109-123, 2008.
DOI : 10.4086/cjtcs.1997.004

K. Ajoy, S. Datta, L. L. Devismes, and . Larmore, A self-stabilizing O(n)-round k-clustering algorithm, SRDS, pp.147-155, 2009.

W. Edsger and . Dijkstra, Self-stabilizing systems in spite of distributed control, Communications of the ACM, pp.643-644, 1974.

P. Erdos and A. Renyi, On the evolution of random graphs. Publication of the Mathematical Institute of the Hungarian Academy of Sciences, pp.17-61, 1960.

O. Flauzac, B. S. Haggar, and F. Nolot, Self-Stabilizing Clustering Algorithm for Ad Hoc Networks, 2009 Fifth International Conference on Wireless and Mobile Communications, pp.24-29, 2009.
DOI : 10.1109/ICWMC.2009.12

W. Rabiner-heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 2000.
DOI : 10.1109/HICSS.2000.926982

C. Johnen and F. Mekhaldi, Self-stabilization versus Robust Self-stabilization for Clustering in Ad-Hoc Network, 17th Euro-Par, pp.117-129, 2011.
DOI : 10.1002/wcm.72

URL : https://hal.archives-ouvertes.fr/hal-00647681

C. Johnen and L. Nguyen, Self-stabilizing Weight-Based Clustering Algorithm for Ad Hoc Sensor Networks, ALGOSENSORS, pp.83-94, 2006.
DOI : 10.1007/11963271_8

URL : https://hal.archives-ouvertes.fr/inria-00158857

C. Johnen and L. Nguyen, Robust self-stabilizing weight-based clustering algorithm, Theoretical Computer Science, vol.410, issue.6-7, pp.581-594, 2009.
DOI : 10.1016/j.tcs.2008.10.009

URL : https://hal.archives-ouvertes.fr/hal-00564967

C. Johnen and L. Nguyen, Self-stabilizing construction of bounded size clusters. ISPA, pp.43-50, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00355516

J. Kuroiwa, Y. Yamauchi, W. Sun, and M. Ito, A Self-Stabilizing Algorithm for Stable Clustering in Mobile Ad-Hoc Networks, 2011 4th IFIP International Conference on New Technologies, Mobility and Security, pp.1-7, 2011.
DOI : 10.1109/NTMS.2011.5720626

A. Larsson and P. Tsigas, Self-stabilizing (k,r)-clustering in wireless ad-hoc networks with multiple paths, 14th OPODIS, pp.79-82, 2010.

N. Mitton, E. Fleury, I. Guerin-lassous, and S. Tixeuil, Self-Stabilization in Self-Organized Multihop Wireless Networks, 25th IEEE International Conference on Distributed Computing Systems Workshops, pp.909-915, 2005.
DOI : 10.1109/ICDCSW.2005.122

URL : https://hal.archives-ouvertes.fr/hal-00383720

N. Mitton, A. Busson, and E. Fleury, Self-organization in large scale ad hoc networks, MED-HOC-NET, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00383714

J. Gregory, . Pottie, J. William, and . Kaiser, Wireless integrated network sensors, Communications of the ACM, pp.51-58, 2000.

G. Tel, Introduction to Distributed Algorithms, 2000.
DOI : 10.1017/CBO9781139168724

A. Varga and R. Hornig, AN OVERVIEW OF THE OMNeT++ SIMULATION ENVIRONMENT, Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Systems, pp.1-6010, 2008.
DOI : 10.4108/ICST.SIMUTOOLS2008.3027

O. Younis and S. Fahmy, HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks, IEEE Transactions on Mobile Computing, vol.3, issue.4, pp.366-379, 2004.
DOI : 10.1109/TMC.2004.41

J. Yu, Y. Qi, G. Wang, and X. Gu, A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution, AEU - International Journal of Electronics and Communications, vol.66, issue.1, pp.54-61, 2012.
DOI : 10.1016/j.aeue.2011.05.002