R. Kay and F. Mattern, The design space of wireless sensor networks, IEEE Wireless Communications, vol.11, issue.6, pp.54-61, 2004.

T. Haenselmann and . Sensornetworks, GFDL Wireless Sensor Network textbook, 2006.

N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, I. 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

A. H. Sayed, A. Tarighat, and N. Khajehnouri, Network-based wireless location: challenges faced in developing techniques for accurate wireless location information, IEEE Signal Processing Magazine, vol.22, issue.4, pp.24-40, 2005.
DOI : 10.1109/MSP.2005.1458275

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

P. Kontkanen, P. Myllymäki, T. Roos, H. Tirri, K. Valtonen et al., Probabilistic Methods for Location Estimation in Wireless Networks, Emerging Location Aware Broadband Wireless Adhoc Networks, 2004.
DOI : 10.1007/0-387-23072-6_11

F. Gustafsson and F. Gunnarsson, Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements, IEEE Signal Processing Magazine, vol.22, issue.4, pp.41-53, 2005.
DOI : 10.1109/MSP.2005.1458284

S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. F. Molish et al., Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks, IEEE Signal Processing Magazine, vol.22, issue.4, pp.70-84, 2005.
DOI : 10.1109/MSP.2005.1458289

M. G. Rabbat and R. D. Nowak, Decentralized source localization and tracking, Proc. ICASSP, 2004.
DOI : 10.1109/icassp.2004.1326696

A. O. Hero, I. , and D. Blatt, Sensor Network Source Localization via Projection onto Convex Sets (POCS), Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2005.
DOI : 10.1109/ICASSP.2005.1415803
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.3629

R. E. Moore, Interval Analysis, 1966.

L. Jaulin, M. Kieffer, O. Didrit, and E. Walter, Applied Interval Analysis, 2001.
DOI : 10.1007/978-1-4471-0249-6
URL : https://hal.archives-ouvertes.fr/hal-00845131

R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960.
DOI : 10.1115/1.3662552

A. Gelb, Applied Optimal Estimation, 1974.

P. Terwiesch and M. Agarwal, A discretized nonlinear state estimator for batch processes, Computers & Chemical Engineering, vol.19, issue.2, pp.155-169, 1995.
DOI : 10.1016/0098-1354(94)E0040-T

M. Pitt and N. Shephard, Filtering via Simulation: Auxiliary Particle Filters, Journal of the American Statistical Association, vol.24, issue.446, pp.590-599, 1999.
DOI : 10.1016/0005-1098(71)90097-5

F. C. Schweppe, Recursive state estimation: unknown but bounded errors and system inputs, pp.22-28, 1968.

D. Maksarov and J. P. Norton, State bounding with ellipsoidal set description of the uncertainty, International Journal of Control, vol.1, issue.5, pp.847-866, 1996.
DOI : 10.1016/0378-4754(90)90001-Y

M. Kieffer, L. Jaulin, and E. Walter, Guaranteed recursive nonlinear state bounding using interval analysis, International Journal of Adaptative Control and Signal Processing, vol.6, issue.3, pp.193-218, 2002.

H. Kwakernaak and R. Sivan, Linear Optimal Control Systems, Journal of Dynamic Systems, Measurement, and Control, vol.96, issue.3, 1974.
DOI : 10.1115/1.3426828

R. Hermann and A. J. Krener, Nonlinear controllability and observability, IEEE Transactions on Automatic Control, vol.22, issue.5, pp.728-740, 1977.
DOI : 10.1109/TAC.1977.1101601

J. Speyer, Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem, IEEE Transactions on Automatic Control, vol.24, issue.2, pp.266-269, 1979.
DOI : 10.1109/TAC.1979.1101973

S. Lin and H. Chang, An Efficient Algorithm for Solving Distributed State Estimator and Laboratory Implementation, 11th International Conference on Parallel and Distributed Systems (ICPADS'05), pp.689-694, 2005.
DOI : 10.1109/ICPADS.2005.78

A. Ribeiro, G. B. Giannakis, and S. I. Roumeliotis, SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations, IEEE Transactions on Signal Processing, vol.54, issue.12, pp.4782-4795, 2006.
DOI : 10.1109/TSP.2006.882059

F. Harary, Graph Theory, 1994.

B. Bollobás, Modern Graph Theory, 1998.
DOI : 10.1007/978-1-4612-0619-4

S. Piskorski, L. Lacassagne, M. Kieffer, and D. Etiemble, Efficient 16-bit floatingpoint interval processor for embedded systems and applications, Proc. 12th GAMM -IMACS Int. Symp. on Scientific Computing, Computer Arithmetic and Validated Numerics, pp.23-23, 2006.

L. Jaulin and E. Walter, Set inversion via interval analysis for nonlinear bounded-error estimation, Automatica, vol.29, issue.4, pp.1053-1064, 1993.
DOI : 10.1016/0005-1098(93)90106-4

Y. Okumura, E. Ohmori, T. Kawano, and K. Fukuda, Field strength ans its variability in VHF and UHF land-mobile radio service, Rev. Elec. Commun. Lab, vol.16, pp.9-10, 1968.

M. Yokoo, Distributed Constraint Satisfaction: Foundations of Cooperation in Multi-Agent Systems, 2001.
DOI : 10.1007/978-3-642-59546-2

R. Bejar, C. Fernandez, M. Valls, C. Domshlak, C. Gomes et al., Sensor networks and distributed CSP: communication, computation and complexity, Artificial Intelligence, vol.161, issue.1-2, pp.117-148, 2005.
DOI : 10.1016/j.artint.2004.09.002