E. Format-du-fichier, 144 3.17 L'entête du fichier ELF et l'entête d'une section. (10), p.145

.. Du-texte, Énergie moyenne utilisée par le Coordinateur (uJ) pour recevoir la forme brute (gauche) et compressée (droite), p.155

L. Différents-États-du-microntrôleur-et-le-nombre-de-cycles-associés..... and .. Wsns, 158 xxx Liste des tableaux 1.1 Résumé des caractéristiques électrique des microcontrôleurs les plus utilisés dans les

B. Et and . Comme, au tout début du fichier ELF on a " l'en-tête ELF " qui a le rôle d'une carte, pour décrire l'organisation du fichier. Figure 3

L. Du, informe le système comment créer une image d'un processus . Les fichiers utilisés pour construire une image d'un processus (exécuter un programme), doivent avoir une entête de programme. Les fichiers délocalisables n'en ont pas besoin. La table d'entête de section contient des informations concernant les différentes sections du fichier (dont les plus importantes sont .bss, .data, .init, .symtab et .text ) Chaque section a une entrée dans cette table, et chaque entrée offre des informations décrivant le nom de la section, sa taille, etc

I. Akyildiz, . Mehmet-can, and . Vuran, Wireless Sensor Networks, 2010.
DOI : 10.1002/9780470515181

C. Fortuna, Why is sensor data hard to get ? COIN-ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations in Aachen, 2010.

J. Lester and H. , System architecture for wireless sensor networks Adviser-Culler, 2003.

. Wikipedia, Elf File Format diagram, p.144

B. Lo and G. Yang, Body Sensor Networks, Body Sensor Networks, pp.416-417, 2006.

P. Nitaigour and . Mahalik, Sensor Networks and Configuration : Fundamentals, Standards , Platforms, and Applications, 2006.

J. Allred, A. Bilal-hasan, S. Panichsakul, W. Pisano, P. Gray et al., Sensor- Flock : an airborne wireless sensor network of micro-air vehicles, SenSys '07 : Proceedings of the 5th international conference on Embedded networked sensor systems, pp.117-129, 2007.

A. Dhamdhere, V. Sivaraman, V. Mathur, and S. Xiao, Algorithms for Transmission Power Control in Biomedical Wireless Sensor Networks, 2008 IEEE Asia-Pacific Services Computing Conference, pp.1114-1119, 2008.
DOI : 10.1109/APSCC.2008.121

H. Tsai, W. Viriyasitavat, K. Ozan, . Tonguz, U. Cem et al., Feasibility of In-car Wireless Sensor Networks: A Statistical Evaluation, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, pp.101-111, 2007.
DOI : 10.1109/SAHCN.2007.4292822

S. Beeby and N. White, Energy Harvesting for Autonomous Systems, Smart Materials , Structures, and Systems. Artech House, 2010.

A. Terzis, Slip surface localization in wireless sensor networks for landslide prediction, IPSN 2006, pp.109-116, 2006.

A. Rosi, M. Mamei, F. Zambonelli, A. Manzalini, and T. Italia, Landslide Monitoring with Sensor Networks : a Case for Autonomic Communication Services Invited Paper, 2010.

A. Garcia-sanchez, F. Garcia-sanchez, and J. Garcia-haro, Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops, Computers and Electronics in Agriculture, vol.75, issue.2, pp.288-303, 2002.
DOI : 10.1016/j.compag.2010.12.005

R. Agnelo, . Silva, C. Mehmet, and . Vuran, CPS)2 : integration of center pivot systems with wireless underground sensor networks for autonomous precision agriculture, Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS '10, pp.79-88, 2010.

S. Nittel, N. Trigoni, K. Ferentinos, F. Neville, A. Nural et al., A drift-tolerant model for data management in ocean sensor networks, Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access , MobiDE '07, pp.49-58, 2007.
DOI : 10.1145/1254850.1254860

N. Chirdchoo, W. Soh, and K. C. Chua, MU-Sync, Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization, WuWNeT '08, pp.35-42, 2008.
DOI : 10.1145/1410107.1410115

S. Bhima, A. Gogada, and R. Garimella, A Tsunami Warning System Employing Level Controlled Gossiping in Wireless Sensor Networks, Proceedings of the 4th international conference on Distributed computing and internet technology, ICDCIT'07, pp.306-313, 2007.
DOI : 10.1007/978-3-540-77115-9_32

A. Hussain, F. , and F. Khan, A survey of Intrusion Detection Systems for Wireless Sensor Networks, Int. J. Ad Hoc Ubiquitous Comput, vol.9, issue.2, pp.69-83, 2002.

I. Bekmezci, Wireless Sensor Networks : A Military Monitoring Application. VDM Verlag, Saarbr&#252 ;cken, 2009.

S. Hyuk-lee, S. Lee, H. Song, and . Lee, Wireless sensor network design for tactical military applications : remote large-scale environments, Proceedings of the 28th IEEE conference on Military communications, MILCOM'09, pp.911-917, 2009.

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

R. Sugihara and R. K. Gupta, Programming models for sensor networks, ACM Transactions on Sensor Networks, vol.4, issue.2, pp.1-829, 2008.
DOI : 10.1145/1340771.1340774

J. Yick, B. Mukherjee, and D. Ghosal, Wireless sensor network survey, Computer Networks, vol.52, issue.12, pp.2292-2330, 2008.
DOI : 10.1016/j.comnet.2008.04.002

S. Bhatti, J. Carlson, H. Dai, J. Deng, J. Rose et al., MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms, Mobile Networks and Applications, vol.6, issue.2, pp.563-579, 2005.
DOI : 10.1007/s11036-005-1567-8

A. Eswaran, A. Rowe, and R. Rajkumar, Nano-RK: An Energy-Aware Resource-Centric RTOS for Sensor Networks, 26th IEEE International Real-Time Systems Symposium (RTSS'05), pp.256-265, 2005.
DOI : 10.1109/RTSS.2005.30

H. Cha, S. Choi, I. Jung, H. Kim, H. Shin et al., RETOS, Proceedings of the 6th international conference on Information processing in sensor networks , IPSN '07, pp.148-157, 2007.
DOI : 10.1145/1236360.1236381

C. Han, R. Kumar, R. Shea, E. Kohler, and M. Srivastava, A dynamic operating system for sensor nodes, Proceedings of the 3rd international conference on Mobile systems, applications, and services , MobiSys '05, pp.163-176, 2005.
DOI : 10.1145/1067170.1067188

P. Levis and D. Culler, Maté : a tiny virtual machine for sensor networks, ASPLOS-X : Proceedings of the 10th international conference on Architectural support for programming languages and operating systems, pp.85-95, 2002.

N. Brouwers, K. Langendoen, and P. Corke, Darjeeling, a feature-rich VM for the resource poor, Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys '09, pp.169-182, 2009.
DOI : 10.1145/1644038.1644056

J. Koshy, Remote incremental linking for energy-efficient reprogramming of sensor networks, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005., pp.354-365, 2005.
DOI : 10.1109/EWSN.2005.1462027

R. Krishna, P. , and S. Bagchi, Hermes : Fast and Energy Efficient Incremental Code Updates for Wireless Sensor Networks, INFOCOM'09, pp.639-647, 2009.

W. Dong, Y. Liu, C. Chen, J. Bu, C. Panta et al., R2 : Incremental Reprogramming using Relocatable Code in Networked Embedded Systems Zephyr : efficient incremental reprogramming of sensor nodes using function call indirections and difference computation, 30th IEEE Conference on Computer Communications (IEEE INFOCOM) Mini- Conference Proceedings of the 2009 conference on USENIX Annual technical conference, USENIX'09, pp.33-46, 2009.

P. Bumbulis and D. D. Cowan, RE2C: a more versatile scanner generator, ACM Letters on Programming Languages and Systems, vol.2, issue.1-4, pp.70-84, 1993.
DOI : 10.1145/176454.176487

R. Krishna-panta, S. Bagchi, and S. P. Midkiff, Efficient incremental code update for sensor networks, ACM Trans. Sen. Netw, vol.730, pp.1-3032, 0100.

A. Dunkels, N. Finne, J. Eriksson, and T. Voigt, Run-time dynamic linking for reprogramming wireless sensor networks, Proceedings of the 4th international conference on Embedded networked sensor systems , SenSys '06, pp.15-28, 2006.
DOI : 10.1145/1182807.1182810

W. Du, F. Mieyeville, and D. Navarro, IDEA1 : A SystemC-based Systemlevel Simulator for Wireless Sensor Networks, IEEE International Conference WCNIS2010, pp.618-623, 2010.

W. Du, D. Navarro, F. Mieyeville, and I. O. Connor, IDEA1 : A Validated System-level Simulator for Wireless Sensor Networks, The 4th International Workshop on Wireless Sensor, Actuator and Robot Networks, p.113, 2011.

F. Fummi, D. Quaglia, and F. Stefanni, A SystemC-based framework for modeling and simulation of networked embedded systems, 2008 Forum on Specification, Verification and Design Languages, pp.49-54, 2008.
DOI : 10.1109/FDL.2008.4641420

J. Eriksson, A. Dunkels, N. Finne, F. Österlind, and T. Voigt, MSPsim ? an Extensible Simulator for MSP430-equipped Sensor Boards, Proceedings of the European Conference on Wireless Sensor Networks (EWSN), Poster/Demo session WCET benchmarks. Available from http, p.153, 2007.