V. Zambianchi, M. Kieffer, F. Bassi, G. Pasolini, and D. Dardari, Distributed SPS algorithms for non-asymptotic confidence region evaluation, 2014 European Conference on Networks and Communications (EuCNC), pp.1-5, 2014.
DOI : 10.1109/EuCNC.2014.6882641

URL : https://hal.archives-ouvertes.fr/hal-01073681

I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, Wireless sensor networks: a survey, Computer Networks, vol.38, issue.4, pp.393-422, 2002.
DOI : 10.1016/S1389-1286(01)00302-4

A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, Wireless sensor networks for habitat monitoring, Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications , WSNA '02, pp.88-97, 2002.
DOI : 10.1145/570738.570751

T. Quek, D. Dardari, and M. Win, Energy efficiency of dense wireless sensor networks: to cooperate or not to cooperate, IEEE Journal on Selected Areas in Communications, vol.25, issue.2, pp.459-470, 2007.
DOI : 10.1109/JSAC.2007.070220

J. Matamoros, F. Fabbri, C. Anton-haro, and D. Dardari, On the Estimation of Randomly Sampled 2D Spatial Fields under Bandwidth Constraints, IEEE Transactions on Wireless Communications, vol.10, issue.12, pp.4184-4192, 2011.
DOI : 10.1109/TWC.2011.092911.102015

G. Mao, B. Fidan, and B. D. Anderson, Wireless sensor network localization techniques, Computer Networks, vol.51, issue.10, pp.2529-2553, 2007.
DOI : 10.1016/j.comnet.2006.11.018

S. M. Kay, Fundamentals of Statistical Processing: Estimation Theory, 1993.

I. D. Schizas, G. Mateos, and G. B. Giannakis, Distributed LMS for Consensus-Based In-Network Adaptive Processing, IEEE Transactions on Signal Processing, vol.57, issue.6, pp.2365-2382, 2009.
DOI : 10.1109/TSP.2009.2016226

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.5291

G. Mateos, I. D. Schizas, and G. B. Giannakis, Distributed Recursive Least-Squares for Consensus-Based In-Network Adaptive Estimation, IEEE Transactions on Signal Processing, vol.57, issue.11, pp.4583-4588, 2009.
DOI : 10.1109/TSP.2009.2024278

R. Olfati-saber, J. A. Fax, and R. M. Murray, Consensus and Cooperation in Networked Multi-Agent Systems, Proc. IEEE, pp.215-233, 2007.
DOI : 10.1109/JPROC.2006.887293

R. Olfati-saber, Distributed Kalman filtering for sensor networks, 2007 46th IEEE Conference on Decision and Control, pp.5492-5498, 2007.
DOI : 10.1109/CDC.2007.4434303

B. Yang and J. Scheuing, Cramér-Rao bound and optimum sensor array for source localization from time differences of arrival, Proc. of IEEE Acoustics, Speech, and Signal Processing, pp.961-964, 2005.

X. Sheng and Y. Hu, Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks, IEEE Transactions on Signal Processing, vol.53, issue.1, pp.44-53, 2005.
DOI : 10.1109/TSP.2004.838930

N. Patwari, J. Ash, S. Kyperountas, A. Hero, R. Moses et al., Locating the nodes: cooperative localization in wireless sensor networks, IEEE Signal Processing Magazine, vol.22, issue.4, pp.54-69, 2005.
DOI : 10.1109/MSP.2005.1458287

D. Jourdan, D. Dardari, and M. Win, Position error bound for UWB localization in dense cluttered environments, IEEE Transactions on Aerospace and Electronic Systems, vol.44, issue.2, pp.613-628, 2008.
DOI : 10.1109/TAES.2008.4560210

M. C. Campi and E. Weyer, Guaranteed non-asymptotic confidence regions in system identification, Automatica, vol.41, issue.10, pp.1751-1764, 2005.
DOI : 10.1016/j.automatica.2005.05.005

M. C. Campi, S. Ko, and E. Weyer, Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics, Automatica, vol.45, issue.10, pp.2175-2186, 2009.
DOI : 10.1016/j.automatica.2009.05.028

B. C. Csáji, M. C. Campi, and E. Weyer, Non-Asymptotic Confidence Regions for the Least-Squares Estimate, Proc. of IFAC Symposium on System Identification, SYSID, pp.227-232, 2012.
DOI : 10.3182/20120711-3-BE-2027.00417

S. Kolumban, I. Vajk, and J. Schoukens, Perturbed datasets methods for hypothesis testing and structure of corresponding confidence sets, Automatica, vol.51, pp.326-331, 2015.
DOI : 10.1016/j.automatica.2014.10.083

M. Kieffer and E. Walter, Guaranteed characterization of exact non-asymptotic confidence regions as defined by LSCR and SPS, Automatica, vol.50, issue.2, pp.507-512, 2014.
DOI : 10.1016/j.automatica.2013.11.010

URL : https://hal.archives-ouvertes.fr/hal-00935817

W. R. Heinzelman, J. Kulik, and H. Balakrishnan, Adaptive protocols for information dissemination in wireless sensor networks, Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking , MobiCom '99, pp.174-185, 1999.
DOI : 10.1145/313451.313529

A. Nordio, C. Chiasserini, and E. Viterbo, Performance of Linear Field Reconstruction Techniques With Noise and Uncertain Sensor Locations, IEEE Transactions on Signal Processing, vol.56, issue.8, pp.3535-3547, 2008.
DOI : 10.1109/TSP.2008.924865

C. Perkins and E. Royer, Ad hoc on-demand distance vector (aodv) routing, 2003.
DOI : 10.17487/rfc3561

E. Walter and L. Pronzato, Identification of Parametric Models from Experimental Data, 1997.

S. Li, R. Yeung, and N. Cai, Linear network coding, IEEE Transactions on Information Theory, vol.49, issue.2, pp.371-381, 2003.
DOI : 10.1109/TIT.2002.807285

URL : https://hal.archives-ouvertes.fr/hal-01327498

R. Koetter and M. Medard, An algebraic approach to network coding, IEEE/ACM Transactions on Networking, vol.11, issue.5, pp.782-795, 2003.
DOI : 10.1109/TNET.2003.818197

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.6797

L. Xiao and S. Boyd, Fast linear iterations for distributed averaging, Systems & Control Letters, vol.53, issue.1, pp.65-78, 2004.
DOI : 10.1016/j.sysconle.2004.02.022

L. Xiao, S. Boyd, and S. Lall, A scheme for robust distributed sensor fusion based on average consensus, Proc. of the Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005, pp.63-70, 2005.

J. Xiao, A. Ribeiro, Z. Luo, and G. Giannakis, Distributed compression-estimation using wireless sensor networks, IEEE Signal Processing Magazine, vol.23, issue.4, pp.27-41, 2006.
DOI : 10.1109/MSP.2006.1657815

L. Xiao, S. Boyd, and S. J. Kim, Distributed average consensus with least-mean-square deviation, Journal of Parallel and Distributed Computing, vol.67, issue.1, pp.34-46, 2007.
DOI : 10.1016/j.jpdc.2006.08.010

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.2338

G. Lu, B. Krishnamachari, and C. S. Raghavendra, An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks, Wireless Communications and Mobile Computing, vol.19, issue.7, pp.863-875, 2007.
DOI : 10.1002/wcm.503

S. Rump, INTLAB ??? INTerval LABoratory, Developments in Reliable Computing, T. Csendes, pp.77-104, 1999.
DOI : 10.1007/978-94-017-1247-7_7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.8132

P. Gupta and P. Kumar, The capacity of wireless networks, IEEE Transactions on Information Theory, vol.46, issue.2, pp.388-404, 2000.
DOI : 10.1109/18.825799