M. Aaasser and . Ashour, Energy Aware Classification for Wireless Sensor Networks Routing, 15th International Conference on Advanced Communication Technology, pp.66-71, 2013.

A. Abdessameud, A. Tayebi, and I. G. Polushin, Leader-Follower Synchronization of Euler-Lagrange Systems With Time-Varying Leader Trajectory and Constrained Discrete-Time Communication, IEEE Transactions on Automatic Control, vol.62, issue.5, pp.2539-2545, 2017.
DOI : 10.1109/TAC.2016.2602326

A. Ahmad and S. Khan, Water and Energy Scarcity for Agriculture: Is Irrigation Modernization the Answer?, Irrigation and Drainage, vol.49, issue.10, pp.34-44, 2017.
DOI : 10.1002/wrcr.20123

URL : http://onlinelibrary.wiley.com/doi/10.1002/ird.2021/pdf

R. Alur, Compositional Modeling and Analysis of Multi-Hop Control Networks, IEEE Transactions on Automatic Control, vol.56, issue.10, pp.2345-2357, 2011.
DOI : 10.1109/TAC.2011.2163873

URL : http://www.seas.upenn.edu/%7Epappasg/papers/MultiHop2011.pdf

R. W. Beard, Synchronization of Information in Distributed Multiple Vehicle Coordinated Control, IEEE Conference on Decision and Control. Maui, Hawaii, 2003.
DOI : 10.1109/cdc.2003.1272913

G. Belaud, Hydraulic Modeling of an Automatic Upstream Water Level Control Gate for Submerged Flow Conditions, Journal of Irrigation and Drainage Engineering, vol.134, issue.3, pp.315-3260733, 2008.
DOI : 10.1061/(ASCE)0733-9437(2008)134:3(315)

URL : http://xlitrico.free.fr/papers/vlugter_jide08.pdf

A. Bemporad, M. Heemels, and M. Johansson, Networked Control Systems, 2010.
DOI : 10.1007/978-0-85729-033-5

P. Dimitri, J. N. Bertsekas, and . Tsitsiklis, Parallel and Distributed Computation: Numerical Methods, 1989.

F. Borrelli, A. Bemporad, and M. Morari, Predictive Control for linear and hybrid systems, 2017.
DOI : 10.1017/9781139061759

J. H. Braslavsky, R. H. Middleton, and J. S. Freudenberg, Feedback Stabilization over Signal-to-Noise Ratio Constrained Channels, IEEE Transactions on Automatic Control XX, vol.8, pp.1391-1403, 2007.
DOI : 10.1109/tac.2007.902739

URL : http://eprints.maynoothuniversity.ie/1741/1/HamiltonFeedbackStab.pdf

M. Charles, S. W. Burt, and . Stuart, Modern water control and management practices in irrigation: Impact on performance, In: Water Report, vol.19, p.244, 1999.

A. D. Filipe and . Cadete, Distributed LQG control of a water delivery canal, 19th Mediterraneam Control Conference on Control and Automation, 2011.

E. Camponogara, Distributed model predictive control, IEEE Control Systems Magazine, vol.221, pp.44-52, 2002.

M. By and . Cantoni, Control of Large-Scale Irrigation Networks, Proceedings of the IEEE, 2007.

Y. Cao, An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination, IEEE Transactions on Industrial Informatics, vol.9, issue.1, pp.427-438, 2013.
DOI : 10.1109/TII.2012.2219061

S. Capone, An Energy Efficient and Reliable Composite Metric for RPL Organized Networks, 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, pp.178-184, 2014.
DOI : 10.1109/EUC.2014.33

L. Chang, Energy-Efficient Oriented Routing Algorithm in Wireless Sensor Networks, 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp.3813-3818
DOI : 10.1109/SMC.2013.651

P. Charbonnaud, F. J. Carrillo, and E. Duviella, A Supervised Robust Predictive Multi-Controller for Large Operating Conditions of an Open-Channel System, IFAC Proceedings Volumes 18.PART, pp.4620-4625, 2011.
DOI : 10.3182/20110828-6-IT-1002.03203

B. Chopard and M. Droz, Cellular automata modeling of physical systems, 2012.
DOI : 10.1017/cbo9780511549755

D. Panagiotis and . Christofides, Distributed model predictive control: A tutorial review and future research directions, Computers and Chemical Engineering, vol.51, pp.21-41, 2013.

W. Ahmad and T. Chen, Design Considerations forWireless Networked Control Systems, IEEE Transactions on Industrial Electronics, vol.639, pp.2-209, 2016.

A. Zeleke and . Dejen, Hydraulic and Operational Performance of Irrigation System in View of Interventions for Water Saving and Sustainability, p.9781138027671, 2014.

F. Deroo, Distributed control design with local model information and guaranteed stability, 19th World Congress The International Federation of Automatic Control. Cape Town, pp.4010-4017, 2014.
DOI : 10.3182/20140824-6-ZA-1003.00917

G. Di-girolamo, A. D. Innocenzo, M. D. , and D. Benedetto, Co-design of controller and routing redundancy over a wireless network, IFAC- PapersOnLine 48, pp.100-105, 2015.

V. D. , S. Martins, M. Rodrigues, and M. Diagne, A multi-model approach to Saint-Venant Equations: A stability study by LMIs, International Journal of Appl. Math. Comput. Science, vol.223, pp.539-550, 2012.

A. Elmahdi, Decentralized Control Framework and Stability Analysis for Networked Control Systems, Journal of Dynamic Systems, Measurement, and Control, vol.137, issue.5, p.51006, 2015.
DOI : 10.1115/1.4028789

L. Fang, Cooperative Control of Multi-Agent Systems with Information Flow Contraints, 2006.

L. Fang and P. J. Antsaklis, Information consensus of asynchronous discrete-time multi-agent systems, Proceedings of the 2005, American Control Conference, pp.1883-1888, 2005.

L. Fang and P. J. Antsaklis, On Communication Requirements for Multi-agent Consensus Seeking, 2005 Workshop on Networked Embedded Sensing and Control (2005), pp.53-68
DOI : 10.1007/11533382_4

URL : http://www.nd.edu/~pantsakl/publications/351-NESC05.pdf

C. Fischione, Design Principles of Wireless Sensor Networks Protocols for Control Applications, pp.203-238, 2010.
DOI : 10.1007/978-1-4419-7393-1_9

G. Franzè, W. Lucia, and F. Tedesco, A distributed model predictive control scheme for leader???follower multi-agent systems, International Journal of Control, vol.56, issue.2, pp.1-14, 2017.
DOI : 10.1109/CDC.2003.1271709

A. Frommer, B. Daniel, and . Szyld, On asynchronous iterations, Journal of Computational and Applied Mathematics, vol.123, issue.1-2, pp.201-216, 2000.
DOI : 10.1016/S0377-0427(00)00409-X

URL : https://doi.org/10.1016/s0377-0427(00)00409-x

L. Gao, Leader-following consensus for discrete-time descriptor multi-agent systems with observer-based protocols, Transactions of the Institute of Measurement and Control, vol.379, issue.2, pp.1353-1364, 2016.
DOI : 10.1109/TAC.2011.2139510

Y. Gao and L. Wang, Asynchronous consensus of continuous-time multi-agent systems with intermittent measurements, International Journal of Control, vol.8, issue.3, pp.552-562, 2010.
DOI : 10.1016/j.automatica.2008.11.005

Y. Gao, Asynchronous consensus of multiple second-order agents with partial state information, International Journal of Systems Science, vol.43, issue.5, pp.966-977, 2013.
DOI : 10.1080/00207721.2010.496056

I. Gejadze and P. Malaterre, Discharge estimation under uncertainty using variational methods with application to the full Saint-Venant hydraulic network model, International Journal for Numerical Methods in Fluids, vol.81, issue.4, pp.601-629, 2016.
DOI : 10.1016/j.matcom.2010.12.021

URL : https://hal.archives-ouvertes.fr/hal-01720342

G. Mohamed, M. Gouda, and . Schneider, Maximizable routing metrics, IEEE/ACM Transactions on Networking, vol.114, pp.663-675, 2003.

Z. Guo, C. Zheng, and B. Shi, Discrete lattice effects on the forcing term in the lattice Boltzmann method, Physical Review E, vol.8, issue.4, pp.1-6, 2002.
DOI : 10.1063/1.869035

A. Rachana and . Gupta, Hydrology and Hydraulic Systems: Fourth Edition, 2016.

R. Ashok, G. , and M. Chow, Networked Control System: Overview and Research Trends, IEEE Transactions on Industrial Electronics, vol.577, pp.2527-2535, 2009.

X. He and Q. Zou, Analysis and boundary condition of the lattice Boltzmann BGK model with two velocity components, In: arXiv eprint, pp.1-13, 1995.

W. P. Maurice and H. Heemels, Networked control systems with communication constraints: Tradeoffs between transmission intervals, delays and performance, IEEE Transactions on Automatic Control, vol.558, pp.1781-1796, 2010.

C. D. Hollander, Information Propagation Algorithms for Consensus Formation in Decentralized Multi-Agent Systems, 2015.

A. Roger, C. R. Horn, and . Johnson, Matrix analysis ISBN: 978-0-521-54823-6. DOI: 10, 6<9823::AID-ANIE9823>3.3.CO;2-C. arXiv, pp.6071521-3773, 1002.

K. Horvath, New offset-free method for model predictive control of open channels, Control Engineering Practice, vol.41, pp.13-25, 2015.
DOI : 10.1016/j.conengprac.2015.04.002

J. M. Igreja, F. M. Cadete, and J. M. Lemos, Application of distributed model predictive control to a water delivery canal, 2011 19th Mediterranean Conference on Control & Automation (MED), pp.682-687
DOI : 10.1109/MED.2011.5983126

A. Jadbabaie, J. Lin, and S. A. Morse, Coordination of groups of mobile autonomous agents using nearest neighbor rules, IEEE Transactions on Automatic Control, vol.48, issue.6, pp.988-1001, 2003.
DOI : 10.1109/TAC.2003.812781

URL : https://repository.upenn.edu/cgi/viewcontent.cgi?article=1029&context=ese_papers

P. Olivier and K. , Energy-based routing metric for RPL, p.14

P. Olivier and K. , Fuzzy-based routing metrics combination for RPL To cite this version, p.8, 2014.

K. Kansara, Sensor based Automated Irrigation System with IOT : A Technical Review, International Journal of Computer Science and Information Technologies, vol.6, 2016.

P. Karkazis, Evaluating routing metric composition approaches for QoS differentiation in low power and lossy networks, Wireless Networks, vol.25, issue.2, pp.1269-1284, 2013.
DOI : 10.1109/MCOM.2008.4473092

Y. Kim, R. G. Evans, and W. M. Iversen, Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network, IEEE Transactions on Instrumentation and Measurement, vol.577, pp.1379-1387, 2008.

S. Victor and . Kozyakin, A short introduction to asynchronous systems, Proceedings of the Sixth International Conference on Difference Equations 00, pp.153-165, 2004.

T. Kruger, The Lattice Boltzmann Method ISBN: 978-3-319-44647-9. DOI: 10, pp.978-981, 2017.

V. Kumar and S. Tiwari, Routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN): A Survey, Journal of Computer Networks and Communications, vol.2012, 2012.
DOI : 10.1016/j.comnet.2010.05.010

URL : https://doi.org/10.1155/2012/316839

A. L. Kupershtokh, A lattice Boltzmann equation method for real fluids with the equation of state known in tabular form only in regions of liquid and vapor phases, Computers and Mathematics with Applications 61, pp.3537-3548, 2011.
DOI : 10.1016/j.camwa.2010.06.032

Y. Kuriki and T. Namerikawa, Consensus-based cooperative formation control with collision avoidance for a multi-UAV system, 2014 American Control Conference, pp.2077-2082
DOI : 10.1109/ACC.2014.6858777

K. Lee and R. Bhattacharya, Convergence Analysis of Asynchronous Consensus in Discrete-time Multi-agent Systems with Fixed Topology, In: eprint arXiv, 2016.

K. Lee and R. Bhattacharya, Stability analysis of large-scale distributed networked control systems with random communication delays: A switched system approach, Systems & Control Letters, vol.85, pp.77-83, 2015.
DOI : 10.1016/j.sysconle.2015.08.011

URL : https://manuscript.elsevier.com/S0167691115001784/pdf/S0167691115001784.pdf

L. Li, D. Ho, and J. Lu, Event-based network consensus with communication delays, Nonlinear Dynamics, vol.8, issue.10, pp.1847-1858, 2017.
DOI : 10.1109/INFOCOM.2008.175

M. Li and Y. Chen, Robust Tracking Control of Networked Control Systems With Communication Constraints and External Disturbance, IEEE Transactions on Industrial Electronics, vol.64, issue.5, pp.4037-4047, 2017.
DOI : 10.1109/TIE.2017.2652398

M. Li, Z. Li, V. Athanasios, and . Vasilakos, A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues, Proceedings of the IEEE 101, pp.2538-2557, 2013.
DOI : 10.1109/JPROC.2013.2257631

, References |, vol.113

Y. Li and B. D. Schutter, Performance analysis of irrigation channels with distributed control, Proceedings of the IEEE International Conference on Control Applications, pp.2148-2153, 2010.

Z. Li, Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs, IEEE Transactions on Automatic Control, vol.60, issue.4, pp.1152-1157, 2015.
DOI : 10.1109/TAC.2014.2350391

X. Liang, J. Xu, and H. Zhang, Optimal Control and Stabilization for Networked Control Systems With Packet Dropout and Input Delay, IEEE Transactions on Circuits and Systems II: Express Briefs 7747.c, pp.1549-7747, 2016.
DOI : 10.1109/TCSII.2016.2642986

P. Lin, W. Ren, and J. A. Farrell, Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set, IEEE Transactions on Automatic Control, vol.62, issue.5, pp.2239-2253, 2016.
DOI : 10.1109/TAC.2016.2604324

X. Litrico and V. Fromion, Modeling and Control of Hydrosystems, 2009.
DOI : 10.1007/978-1-84882-624-3

X. Litrico, Experimental validation of a methodology to control irrigation canals based on Saint-Venant equations, Control Engineering Practice, vol.13, issue.11, pp.1425-1437, 2005.
DOI : 10.1016/j.conengprac.2004.12.010

URL : https://hal.archives-ouvertes.fr/hal-01652565

F. Liu, C. Y. Tsui, and Y. Zhang, Joint Routing and Sleep Scheduling for Lifetime Maximization of Wireless Sensor Networks, IEEE Transactions on Wireless Communications, vol.9, issue.7, pp.2258-2267, 2010.
DOI : 10.1109/TWC.2010.07.090629

H. Liu, Lattice Boltzmann method for the Saint???Venant equations, Journal of Hydrology, vol.524, pp.411-416, 2015.
DOI : 10.1016/j.jhydrol.2015.03.002

X. Liu, Leader-following consensus for discrete-time multi-agent systems with parameter uncertainties based on the event-triggered strategy, Journal of Systems Science and Complexity, vol.85, issue.5, pp.30-45, 2017.
DOI : 10.1109/TCS.1978.1084534

S. D. María-guinaldo-losada, F. Bencomo, and . Rubio, Asynchronous Control for Networked Systems, 2015.
DOI : 10.1007/978-3-319-21299-9

D. Lozano, Simulation of automatic control of an irrigation canal Agricultural Water Management 97, pp.91-100, 2010.
DOI : 10.1016/j.agwat.2009.08.016

URL : https://digital.csic.es/bitstream/10261/92056/1/accesoRestringido.pdf

Q. Lu, H. Li, and D. Xia, Distributed optimization of first-order discrete-time multi-agent systems with event-triggered communication, Neurocomputing, vol.235, pp.255-263, 2016.
DOI : 10.1016/j.neucom.2017.01.021

B. Lubachevsky and D. Mitra, A chaotic asynchronous algorithm for computing the fixed point of a nonnegative matrix of unit spectral radius, Journal of the ACM, vol.33, issue.1, pp.130-150, 1986.
DOI : 10.1145/4904.4801

J. Ma, Leader-following consensus of multi-agent systems with limited data rate, Journal of the Franklin Institute, vol.354, issue.1, pp.184-196, 2017.
DOI : 10.1016/j.jfranklin.2016.10.005

P. Malaterre, Control of irrigation canals: why and how?, In: International Journal for Numerical Modeling of Hydrodynamics for Water Resources, pp.271-292, 2007.

P. Malaterre, D. Dorchies, and J. Baume, La modernisation des canaux d'irrigation : apports de l'automatisation pour la gestion opérationnelle, Sciences Eaux & Territoires, vol.11, pp.44-47, 2013.

O. Marcou, Modélisation et contrôle d'écoulements à surface libre par la méthode de Boltzmann sur réseau, 2010.

I. Mareels, Systems engineering for irrigation systems: Successes and challenges, In: Annual Reviews in Control, vol.292, pp.191-204, 2005.
DOI : 10.1016/j.arcontrol.2005.08.001

L. Steven and . Markstrom, GSFLOW?Coupled Ground-Water and Surface-Water Flow Model Based on the Integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005), In: U.S. Geological Survey Techniques and Methods, pp.6-7, 2008.

M. Mehyar, Distributed Averaging on Asynchronous Communication Networks, IEEE/ACM Transactions on Networking, vol.153, 2007.
DOI : 10.1109/cdc.2005.1583363

URL : https://authors.library.caltech.edu/77538/1/01583363.pdf

C. D. Meyer, Chapter 8: Perron-Frobenius Theory of Nonnegative Matrices In: Matrix analysis and applied linear algebra, Society for Industrial and Applied Mathematics, pp.661-704, 2000.

A. Montazar and S. Isapoor, Centralized Downstream PI controllers for the west canal of Aghili irrigation district, Journal of Agricultural Science and Technology, vol.142, pp.375-388, 2012.

L. Moreau, Stability of multiagent systems with time-dependent communication links, IEEE Transactions on Automatic Control, vol.50, issue.2, pp.169-182, 2004.
DOI : 10.1109/TAC.2004.841888

R. R. Negenborn, P. Van-overloop, and B. D. Schutter, Coordinated model predictive reach control for irrigation canals, Proceedings of the European Control Conference, pp.1420-1425, 2009.
DOI : 10.3934/nhm.2009.4.359

URL : http://www.aimsciences.org/journals/doIpChk.jsp?paperID=4244&mode=full

R. Negenborn, Distributed model predictive control of irrigation canals, In: Networks and Heterogeneous Media 4, pp.359-380, 2009.
DOI : 10.3934/nhm.2009.4.359

URL : http://www.aimsciences.org/journals/doIpChk.jsp?paperID=4244&mode=full

L. Nguyen, Distributed Model Predictive Control of Irrigation Systems using Cooperative Controllers, IFAC 20th World Congress of the International Federation of Automatic Control, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01656532

L. Nguyen, Optimal reactive control of hybrid architectures : A case study on complex water transportation systems, 19th IEEE International Conference on Emerging Technologies and Factory Automation, 2014.
DOI : 10.1109/etfa.2014.7005109

URL : https://hal.archives-ouvertes.fr/hal-01660419

L. Nguyen, Signal-to-noise ratio for irrigation canal networked control system (MSC'2015), 2015 IEEE Conference on Control Applications (CCA), pp.1637-1643
DOI : 10.1109/CCA.2015.7320844

C. Ocampo-martinez, Multi-layer Decentralized MPC of Large-scale Networked Systems, Intelligent Systems, Control and Automation: Science and Engineering, vol.69, pp.495-515, 2014.
DOI : 10.1007/978-94-007-7006-5_31

URL : https://digital.csic.es/bitstream/10261/97001/4/decentralized%20MPC.pdf

T. Ojha, S. Misra, and N. Singh-raghuwanshi, Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges, Computers and Electronics in Agriculture, vol.118, pp.66-84, 2015.
DOI : 10.1016/j.compag.2015.08.011

R. Olfati-saber, A. J. Fax, and R. M. Murray, Consensus and Cooperation in Networked Multi-Agent Systems, Proceedings of IEEE 95, pp.215-233, 2007.
DOI : 10.1109/JPROC.2006.887293

R. Olfati-saber and R. M. Murray, Consensus Problems in Networks of Agents With Switching Topology and Time-Delays, IEEE Transactions on Automatic Control, vol.49, issue.9, pp.1520-1533, 2004.
DOI : 10.1109/TAC.2004.834113

URL : https://authors.library.caltech.edu/5146/1/OLFieeetac04.pdf

L. Diemer-anda-ondo, B. Lefèvre, and . Chopard, Discrete controllability of distributed parameters systems using lattice Boltzmann models: An application to the shallow water equations, IFAC Proceedings Volumes (IFAC-PapersOnline), 2011.

P. Van-overloop, Human-in-the-Loop Model Predictive Control of an Irrigation Canal, IEEE Control Systems, vol.354, pp.19-29, 2015.

P. Park and K. H. Johansson, Wireless networked control system co-design, 2011 International Conference on Networking, Sensing and Control, pp.11-13, 2011.
DOI : 10.1109/ICNSC.2011.5874926

. Van-thang and . Pham, Study of the 1D lattice Boltzmann shallow water equation and its coupling to build a canal network, Journal of Computational Physics, vol.229, issue.19, pp.7373-7400, 2010.
DOI : 10.1016/j.jcp.2010.06.022

URL : https://hal.archives-ouvertes.fr/hal-01625073

. Van-thang, C. Pham, J. Raïevsky, and . Jamont, A multiagent approach using model-based predictive control for an irrigation canal, Prism, pp.1-8, 2013.

H. Plusquellec, C. Burt, and H. W. Vywpter, Modern Water Control in Irrigation: Concepts, Issues, and Applications, p.110, 1994.

M. Pott, On the convergence of asynchronous iteration methods for nonlinear paracontractions and consistent linear systems, Linear Algebra and its Applications, vol.283, issue.1-3, pp.1-33, 1998.
DOI : 10.1016/S0024-3795(98)10060-5

V. Puig and R. R. Negenborn, Model Predictive Control for Combined Water Supply and Navigability/Sustainability in River Systems, Transport of Water versus Transport over Water, pp.13-32, 2015.
DOI : 10.1007/978-3-319-16133-4_2

URL : https://digital.csic.es/bitstream/10261/127479/6/river-systems.pdf

V. Puig, Model predictive control of combined irrigation and water supply systems: Application to the Guadiana river, Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control, pp.85-90
DOI : 10.1109/ICNSC.2012.6204896

URL : https://digital.csic.es/bitstream/10261/96570/1/Model%20predictive%20control.pdf

V. Puig, Optimal predictive control of water transport systems: Arr??t-Darr??/Arros case study, Water Science & Technology, vol.60, issue.8, pp.2125-2133, 2009.
DOI : 10.2166/wst.2009.525

URL : https://digital.csic.es/bitstream/10261/30509/1/Arr%c3%aat-Darr%c3%a9.pdf

J. Qin, C. Yu, and S. Hirche, Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology, IEEE Transactions on Industrial Informatics, pp.986-994, 2012.
DOI : 10.1109/TII.2012.2210430

URL : http://mediatum.ub.tum.de/doc/1155657/document.pdf

J. Qin, Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey, IEEE Transactions on Industrial Electronics, vol.64, issue.6, 2016.
DOI : 10.1109/TIE.2016.2636810

?. Aleksandar, N. S. Rakie, I. T. Be?anié, and . Popovié, Novel Architecture for Networked Control Systems, International Symposium on Industrial Electronics (INDEL). 2016, p.9781509023295

J. B. Rawlings and D. Q. Mayne, Model Predictive Control : Theory and Design, 2012.

J. Biao-ren, C. Ma, and . Chen, The hybrid mobile wireless sensor networks for data gathering, Proceeding of the 2006 international conference on Communications and mobile computing -IWCMC '06, 2006.

W. Ren and R. W. Beard, Consensus of information under dynamically changing interaction topologies, Proceedings of the American Control Conference, pp.4939-4944, 2004.

W. Ren, W. Randal, and . Beard, Consensus seeking in multiagent systems under dynamically changing interaction topologies, IEEE Transactions on Automatic Control, vol.505846556, pp.655-661, 2005.

W. Ren and R. W. Beard, Overview of Consensus Algorithms in Cooperative Control, 2008.
DOI : 10.1007/978-1-84800-015-5_1

W. Ren, R. W. Beard, and E. M. Atkins, Information Consensus in Multivehicle Cooperative Control, pp.71-82, 2007.

W. Ren and Y. Cao, Distributed Coordination of Multi-agent Networks: Emergent Problems, Models, and Issues, 2011.
DOI : 10.1007/978-0-85729-169-1

A. J. Rojas, On the infimal Signal-to-Noise Ratio limitations for measurable disturbance rejection, 2015 American Control Conference (ACC), pp.2211-2217, 2015.
DOI : 10.1109/ACC.2015.7171061

A. J. Rojas, J. H. Braslavsky, and R. H. Middleton, Fundamental limitations in control over a communication channel, Automatica, vol.44, issue.12, pp.1-13, 2008.
DOI : 10.1016/j.automatica.2008.05.014

URL : http://www.eng.newcastle.edu.au/~jhb519/pubs/RBM2008_Automatica.pdf

H. Sajjadi, Lattice Boltzmann method and RANS approach for simulation of turbulent flows and particle transport and deposition, Particuology, vol.30, pp.62-72, 2017.
DOI : 10.1016/j.partic.2016.02.004

L. Sanchez and M. A. Ridao, Distributed Control of Irrigation Canals, p.46, 2010.

S. Sawadogo, Decentralized predictive controller for delivery canals, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2001.
DOI : 10.1109/ICSMC.1998.726693

P. Sethi and S. R. Sarangi, Internet of Things: Architectures, Protocols, and Applications, Journal of Electrical and Computer Engineering, vol.10, issue.4, pp.9-19, 2017.
DOI : 10.1109/MPE.2009.934876

URL : http://doi.org/10.1155/2017/9324035

Y. Shang and Y. Ye, Leader-Follower Fixed-Time Group Consensus Control of Multiagent Systems under Directed Topology, Complexity, vol.2, p.2017, 2017.
DOI : 10.1109/tac.2012.2224251

URL : http://doi.org/10.1155/2017/3465076

Z. Shelby and C. Bormann, 6LoWPAN: the wireless embedded internet, p.9780470747995, 2011.
DOI : 10.1002/9780470686218

L. Sheng, Y. Pan, and X. Gong, Consensus Formation Control for a Class of Networked Multiple Mobile Robot Systems, Journal of Control Science and Engineering, vol.57, issue.1, pp.1-12, 2012.
DOI : 10.1109/TAC.2011.2146830

URL : https://doi.org/10.1155/2012/150250

Z. Sheng, A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities, IEEE Wireless Communications, vol.20, issue.6, pp.91-98, 2013.
DOI : 10.1109/MWC.2013.6704479

A. Sobeih, J-Sim: A Simulation and emulation environment for wireless sensor networks, IEEE Wireless Communications, vol.13, issue.4, pp.104-119, 2006.
DOI : 10.1109/MWC.2006.1678171

URL : http://www.j-sim.org/v1.3/sensor/JSim.pdf

J. L. Sobrinho, Algebra and algorithms for QoS path computation and hop-by-hop routing in the Internet, IEEE/ACM Transactions on Networking, vol.10, issue.4, pp.541-550, 2002.
DOI : 10.1109/TNET.2002.801397

URL : http://www.ieee-infocom.org/2001/paper/105.pdf

J. Sobrinho, Network routing with path vector protocols, Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications , SIGCOMM '03, p.49, 2003.
DOI : 10.1145/863955.863963

C. John and . Strikwerda, A convergence theorem for chaotic asynchronous relaxation In: Linear Algebra and its Applications 253, pp.1-3, 1997.

Y. Su, Further results on convergence of asynchronous linear iterations, Linear Algebra and its Applications, vol.281, issue.1-3, pp.1-3, 1998.
DOI : 10.1016/S0024-3795(98)10030-7

URL : https://doi.org/10.1016/s0024-3795(98)10030-7

I. Sutrisno, Y. Salmah, and I. E. Wijayanti, Distributed model predictive control and application to irrigation canal, 2012 IEEE Conference on Control, Systems & Industrial Informatics, pp.126-130, 2012.
DOI : 10.1109/CCSII.2012.6470486

C. Tan and H. Zhang, Necessary and Sufficient Stabilizing Conditions for Networked Control Systems with Simultaneous Transmission Delay and Packet Dropout, IEEE Transactions on Automatic Control, vol.9286, issue.1, pp.18-9286, 2016.
DOI : 10.1109/cdc.2015.7402579

S. Andrew, D. J. Tanenbaum, and . Wetherall, Computer Networks, vol.52, issue.169, pp.349-351, 2011.

X. Tian, Distributed model predictive control for multi-objective water system management, Proceedings of the 10th International Conference on Hydroinformatics, pp.2012-175

Y. Tipsuwan, . Mo-yuen, and . Chow, Control methodologies in networked control systems, Control Engineering Practice, vol.11, issue.10, pp.1099-1111, 2003.
DOI : 10.1016/S0967-0661(03)00036-4

C. Tomlin, G. J. Pappas, and S. Sastry, Conflict resolution for air traffic management: a study in multiagent hybrid systems, IEEE Transactions on Automatic Control, vol.43, issue.4, pp.509-521, 1998.
DOI : 10.1109/9.664154

P. Trakadas, Routing metric selection and design for multi-purpose WSN, IWSSIP 21st International Conference on Systems, Signals and Image Processing, pp.12-15, 2014.

P. Peter-jules and . Van-overloop, Model Predictive Control on Open Water Systems, pp.182-1586036386, 2006.

J. Vasquez, Hydraulique a surface libre, Tech. rep. École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES), p.105, 2011.

J. Vasseur, Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks, 2012.
DOI : 10.17487/rfc6551

T. Vicsek, Novel Type of Phase Transition in a System of Self-Driven Particles, Physical Review Letters, vol.1, issue.6, 1995.
DOI : 10.1142/S0218348X93000320

D. Wang, Cooperative Containment Control of Multiagent Systems Based on Follower Observers With Time Delay, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.471, pp.13-23, 2017.
DOI : 10.1109/TSMC.2016.2577578

Q. Wang, An overview of consensus problems in constrained multi-agent coordination, Systems Science & Control Engineering, vol.43, issue.6, pp.275-284, 2014.
DOI : 10.1109/TNNLS.2012.2196710

Y. Wang, J. Cao, and J. Hu, Pinning consensus for multi-agent systems with non-linear dynamics and time-varying delay under directed switching topology, IET Control Theory & Applications, 1931.
DOI : 10.1049/iet-cta.2014.0032

E. Weyer, Control of irrigation channels, IEEE Transactions on Control Systems Technology, pp.664-675, 2008.

T. Winter, RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks, 2012.
DOI : 10.17487/rfc6550

S. Wollkind, J. Valasek, and T. R. Ioerger, Automated conflict resolution for air traffic management using cooperative multiagent negotiation AIAA guidance, navigation, and control conference and exhibit 4992, pp.1-11, 2004.

M. Wooldridge, An Introduction to MultiAgent Systems, 2002.

F. Xia, QoS Challenges and Opportunities in Wireless Sensor/Actuator Networks, Sensors, vol.30, issue.5, pp.1099-1110, 2008.
DOI : 10.1016/j.comcom.2007.05.032

F. Xiao and L. Wang, Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays, IEEE Transactions on Automatic Control, vol.53, issue.8, pp.1804-1816, 2008.
DOI : 10.1109/TAC.2008.929381

F. Xiao, L. Wang, and A. Wang, Consensus problems in discrete-time multiagent systems with fixed topology, Journal of Mathematical Analysis and Applications, vol.322, issue.2, pp.587-598, 2006.
DOI : 10.1016/j.jmaa.2005.08.094

W. Xu, Event-Triggered Schemes on Leader-Following Consensus of General Linear Multiagent Systems Under Different Topologies, IEEE Transactions on Cybernetics, vol.47, issue.1, pp.212-223, 2017.
DOI : 10.1109/TCYB.2015.2510746

Y. Yaling and W. Jun, Design guidelines for routing metrics in multihop wireless networks, Proceedings of IEEE INFOCOM, pp.2288-2296222, 2007.

. Ke-you, L. You, and . Xie, Survey of Recent Progress in Networked Control Systems, ACTA Automatica Sinica, vol.39, issue.2, 2013.

X. Yu, A survey on wireless sensor network infrastructure for agriculture, Computer Standards & Interfaces, vol.35, issue.1, pp.59-64, 2013.
DOI : 10.1016/j.csi.2012.05.001

T. Zahariadis and P. Trakadas, Design Guidelines for Routing Metrics Composition in LLN, 2012.

X. Zhang, Q. Han, and Y. Wang, A brief survey of recent results on control and filtering for networked systems, 2016 12th World Congress on Intelligent Control and Automation (WCICA), pp.64-69
DOI : 10.1109/WCICA.2016.7578665

X. Zhang, Q. Han, and X. Yu, Survey on Recent Advances in Networked Control Systems, IEEE Transactions on Industrial Informatics, vol.12, issue.5, 2015.
DOI : 10.1109/TII.2015.2506545

X. Zhang, J. Feng, and T. Yang, Lattice Boltzmann method for overland flow studies and its experimental validation, Journal of Hydraulic Research, vol.3, issue.1, pp.561-575, 2015.
DOI : 10.1016/j.compfluid.2011.05.007

M. Zhao, I. W. , H. Ho, and P. Chong, An Energy-Efficient Region-Based RPL Routing Protocol for Low-Power and Lossy Networks, IEEE Internet of Things Journal, vol.3, issue.6, 2016.
DOI : 10.1109/JIOT.2016.2593438

URL : http://aut.researchgateway.ac.nz/bitstream/10292/10832/5/2016-IEEE-IOT-An%2bEnergy%2bEff%2bRegion-based%2bRPL%2bRouting.pdf

W. Zhao, R. Li, and H. Zhang, Leader???follower optimal coordination tracking control for multi-agent systems with unknown internal states, Neurocomputing, vol.249, pp.171-181, 2017.
DOI : 10.1016/j.neucom.2017.03.066

B. Zhou, Constrained consensus of asynchronous discrete-time multi-agent systems with time-varying topology, Information Sciences, vol.320, pp.223-234, 2015.
DOI : 10.1016/j.ins.2015.05.024

G. Jian and . Zhou, A lattice Boltzmann model for the shallow water equations, Computer Methods in Applied Mechanics and Engineering, vol.19132, issue.02, pp.3527-353900291, 2002.

X. Zhuan and X. Xia, Models and control methodologies in open water flow dynamics: A survey, AFRICON 2007, pp.1-7, 2007.
DOI : 10.1109/AFRCON.2007.4401525