Orateurs invités

Nathalie Mitton

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Nathalie Mitton est titulaire d’un diplôme d’ingénieur et d’un doctorat de l’INSA Lyon obtenus en 2003 et 2006 respectivement. Elle a reçu l’Habilitation à diriger des recherches (HDR) en 2011 de l’Université Lille 1. Elle est chargée de recherche Inria depuis 2006 et responsable de l’équipe Inria FUN depuis 2011. Sa recherche porte sur les mécanismes d’auto-organisation dans les réseaux de capteurs et de robots sans fil et systèmes RFID, de la couche physique à la couche réseau, etc. Elle est entre autre responsable du déploiement d’une plateforme de l’equipex FIT(https://www.iot-lab.info). Elle est active dans de nombreux comités de programmes et d’organisation de conférences telles que Pe-Wasun 2017, VTC 2017&2016, WSCP2017, SWC 2017, WPMC 2017, ICT 2017, Globecom 2017, infocom workshop 2017, AdHocNow 2016&2015, MobiCom 2015 etc.

Couche MAC adaptative pour le monitoring d’animaux sauvages.

Les réseaux de capteurs sans fil connaissent de très nombreuses applications. L’une d’elles est le monitoring de la faune, qui soulève des défis bien spécifiques. Le projet PREDNET a tenté de les relever. Nous verrons comment et quels sont les verrous qu’il reste à lever.

Catherine Rosenberg

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Catherine Rosenberg is a Professor in Electrical and Computer Engineering at the University of Waterloo. Since June 2010, she holds the Tier 1 Canada Research Chair in the Future Internet. She started her career in ALCATEL, France and then at AT&T Bell Labs., USA. From 1988-1996, she was a faculty member at the Department of Electrical and Computer Engineering, Ecole Polytechnique, Montreal, Canada. In 1996, she joined Nortel Networks in the UK where she created and headed the R&D Department in Broadband Satellite Networking. In August 1999, Dr. Rosenberg became a Professor in the School of Electrical and Computer Engineering at Purdue University where she co-founded in May 2002 the Center for Wireless Systems and Applications (CWSA). She joined University of Waterloo on Sept 1st, 2004 as the Chair of the Department of Electrical and Computer Engineering for a three-year term

Coordination and Cooperation in 5G Networks

In the first part of the presentation, we will address the following three research questions targeted at either the downlink or the uplink of an OFDMA-based cellular network:
Q1: How much better can a hypothetical centralized scheduler that fully coordinates all the cells perform when compared to existing local schedulers?
Q2: Can we design online local schedulers that perform comparably to the centralized scheduler?
Q3: If not, can we propose a level of coordination that is practical to implement within a C-RAN (Cloud Radio Access Network) to improve performance?
We will formulate a large non-convex optimization problem, to answer question Q1, that we will solve quasi-optimally and propose practical solutions that can be implemented.
The second part of the presentation will address how operator coordination through smart roaming and user swapping can improve the network performance without incurring any cost even when the operators are heterogeneous. Again we will formulate an optimization problem to evaluate the possible gain of cooperation and propose a practical user association scheme that can be implemented and takes cooperation into account.
Part of the presented work was done with Yigit Ozcan and Bharat Venkitesh (graduate students at U. of Waterloo) and Dr. Fabrice Guillemin (Orange Labs)

Véronique Vèque

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Véronique Vèque obtained her PhD degree in communication networks in 1989 from University Pierre et Marie Curie - France. In 1990, she was an Associate Professor at University of Paris-Sud (Paris 11), and in 2000 to present, she worked as a full Professor at University of Paris-Sud. She is currently a research member of Laboratory of Signals and Systems. Her research interests lie in the field of both wireless, mobile and high speed communication networks with emphasis on vehicular networks, resource allocation, quality of service techniques, ad hoc routing and performance evaluation. She has published more than 100 papers in international journals or conferences. Véronique Vèque has been involved on the technical program committee of the main conferences in networking, including GLOBECOM, ICC, PIMRC, ISCC, WLN, LCN and WiMOB, and regularly invited to chair some of their sessions. She was co-editor of a special issue on cognitive radio of IEEE Communication Magazine. Véronique Vèque is a Senior member of the IEEE, IEEE Communications Society, and IEEE Vehicular Society.

Clustering in vehicular networks: making stable structures in unstable environments.

Intelligent transport systems have been developed throughout the years mainly for the purpose of improving road safety, traffic management or nice user-oriented applications. Besides sensors and computation capabilities to assist driving and prevent collision, the so-called "intelligent" vehicles are now equipped with radio communication, which enabled them to communicate either with one another via V2V communications (Vehicle-to-Vehicle Communication), or with the RSU (Road Side Unit) installed along the road via V2I communication (Vehicle-to-Infrastructure). By generalizing inter-vehicular communications, we can constitute vehicular ad hoc networks or VANET networks, which are a particular case of mobile ad-hoc networks. The VANET networks thus facilitate the exchange of information between several vehicles, regarding the state of the road or the traffic in a given geographical area. In this survey, we are mainly interested in V2V2I (Vehicle-to-Vehicle-to-Infrastructure) communications, with a focus on organizing the ad-hoc part of the network into groups of vehicles or clusters, each of them organized around a main cluster called a clusterhead. Indeed, the clustering principles are well-known as this technique is so popular in distributed systems for many years. However, in vehicular networks, classical schemes do not work anymore due to the high mobility of vehicles making the groups unstable. On the highway, it is appropriate to make stable groups using the dynamics of road traffic that forms "natural" cluster convoys. We review the different criteria to group vehicles in a cluster and the performance obtained in some scenarios. Beyond the usual routing problem of MANET, we are also interested in several clustering applications for the specific Intelligent Transportation Systems. Remerciements : Ce tutorial n’aurait pas pu voir le jour sans les collègues avec qui j’ai eu la chance de collaborer sur ces sujets et que je remercie ici : Florent Kaisser, Colette Johnen, Menying Ren, Houda Labiod, Jun Zhang.