CITI Talk: “Digital transitions and what they say to research”, by Daniel Kaplan, on 31st March


Since 2000, Fing “has been exploring the transforming potential of technologies, when placed in the hands of millions of people”. How to characterise this transforming potential, at a time when everybody talks about “digital transition” (and therefore a systemic change presented as both ineluctable and the “blues of the Net”)? What if “the digital era” was a pretext to allow oneself to think differently on any topic?
Based on some of Fing current works, we will look at how those works have open new ways, and the possible interactions with questions asked by the Inria researchers (and others):
– Personal data and privacy: what about focusing not only on the protection of individuals but also on their capacitation, by putting them in the position to be able to produce, capture and use their personal data for themselves?
– Ecological transition and digital transition: what if digital was the way to green transition, and ecology the collective aim missing from digital transition?
– Work: what if digital transition became an asset to bring meaning to work and professional itineraries?

Speaker Biography:

Daniel Kaplan, 53, is the founder and CEO of the Next-Generation Internet Foundation (FING), a nonprofit Think-&-Do-Tank that produces and shares novel and actionable ideas to anticipate digital transformations.
In 1986, he cofounded one of the world’s first digital communication agencies, JKLM, which he headed until the early 1990s. He then became a consultant and co-founded Proposition, a consultancy specialized in digital strategies.
Since the 1990’s, Daniel Kaplan has been deeply involved in the Internet’s development and evolution. He was VP-Membership of the Internet Society worldwide, and contributed to the creation of ICANN. He served in the European Commission’s e-Europe’s Experts Chamber and currently sits in France’s National Digital Council.
He is a member of several large companies’ and research centre’s Foresight Committees.
Mr. Kaplan has written or directed more than 25 books and public reports on the internet, mobility and ubiquitous networking, ambient intelligence, e-inclusion, e-commerce, e-education, electronic media, cities and sustainable development, privacy and digital identities…

Latest books in English:
Next-Generation Innovation, Bpifrance, 2015
Digital Disruptions, “Promises”, Fing, 2013
Digital Privacy Revisited, To protect and to project, Fyp Editions, 2010


CITI Lab and DGCT announce research collaboration

The Centre of Innovation in Telecommunications and Integration of service (CITI) Laboratory and the DiGital Content Technologies Pte Ltd (DGCT) Company are proud to announce a research collaboration in the emerging field of Smart Cities and Internet of Things. DGCT has built a deep expertise in providing technological solutions for digital Out-Of-Home media digital architecture, combining content distribution and viewers behaviour measurement solutions in public locations such as airports, shopping malls, retail networks. With the smart evolution of cities and the integration of devices in human everyday life, DGCT and the Dynamid team will jointly work on a large and saling distributed infrastructure – especially “P2P Dissemination and Semantic Aggregation of Multimedia Informations sensed in Smart Cities”.

Laurent Fabry, head of DGCT: “Digital out of home advertising contributes to the increasing demand of smart cities infrastructures. Sensing anything from traffic and footfall are keys for urban planning and financing of public infrastructure and services. Autonomous sensing and media distribution architecture are key milestones for implementing brick-and-mortar programmatic scheduling.”


About DGCT

DiGital Content Technologies Pte Ltd (DGCT) is a technology based company located in Singapore. The company is specialised in software based system integration for OOH media, digital signage, and distributed sensor based platform.

DGCT is developing the adooh™ platform – a registered trademark of DGCT -, providing a software generic framework and middleware for a distributed content management and sensor-based real-time targeted content scheduling.

DGCT act as well as a distributor of video-analytic, people counting and 3D visualisation technologies and smart-cities related technologies for Asia market with customers in Singapore, China, South East Asia, Japan and India.

About CITI Lab

CITI is an academic laboratory associated with INSA Lyon and INRIA. The CITI Laboratory develops research activities bringing together computer science, networking, and digital communications to address the challenging issues related to the development of Internet.

This world scale network offers a seamless communication path between heterogeneous nodes (persons,objects, sensors, phones,…) in a heterogeneous architecture including wireless access, offering mobility, ubiquity and adaptability.

Cutting-edge technologies are expected in various fields to provide seamless, self-adaptive and secured solutions fitting with the specific constraints of many applicative frameworks. The full cross-layer expertise the CITI acquired during the past ten years makes it a very original, challenging and almost unique place in France.

CITI Talk: “Dedicated networks for IoT : PHY / MAC challenges”, by Claire Goursaud, on 3rd March

This presentation will focus on the emerging transmission technologies dedicated to IoT networks. We first point out the need of dedicated technologies for IoT. Then, we present the PHY and MAC layers of the technologies that are already deployed, or likely to be deployed: UNB by SigFox, CSS by LoRaTM, Weighless, and RPMA by Ingenu. We then compare their performances to highlight their pros and cons.

Speaker Biography:

Dr Claire GOURSAUD obtained her PhD in High Frequency and Optical Telecommunications in 2006 from the University of Limoges, working on Signal Processing for Optical Communications. In September 2007, she joined the INSA de Lyon (Institut National des Sciences Appliquées), as an Assistant Professor in the telecommunication department, and the CITI laboratory. Her research interests focus on Cooperation in Wireless Sensor Networks, and particularly on Body Area Networks and IoT networks.

CITI Talk: “A Framework for Resilient and Secure Spectrum Sensing on Cognitive Radio Networks”, by Michele Nogueira, on 2nd February


Primary user emulation attacks (PUEAs) are one of the most damaging threats in cognitive radio networks. Malicious or selfish secondary users pretend legitimate primary users to profit from the opportunistic use of the licensed frequency spectrum. Since cognitive radio importance has enhanced as an approach to spectral efficiency and to diminish the negative effects of wireless network scalability, approaches for PUEAs defense have arisen, evolving their architectural strategy, node’s operation and analysis design. This talk overviews recent achievement in PUEA defenses and presents a classification. Persistently unsolved challenges in the field are highlighted, and a framework for tackling one of the main challenges – the lack of flexibility to address this highly compromising attack – is outlined, promoting progress in the art of PUEA defense. As proof of concept, results present improvements in attack analysis employing flexible and multidimensional techniques on a case study. Finally, open issues and future directions are emphasized.

​Speaker ​Bio​graphy​:

Michele Nogueira is Professor of Computer Science at Federal University of Paraná, where she has been since 2010. In 2016, she will spend her sabbatical year as visiting faculty at Carnegie Mellon University, USA. She received her doctorate in Computer Science from the University Pierre et Marie Curie – Sorbonne Universités, Laboratoire d’Informatique de Paris VI (LIP6) in 2009. She was a Visiting Researcher at Georgia Institute Technology (GeorgiaTech) and a Visiting Professor at University Paul Sabatier in 2009 and 2013, respectively. Her research interests include wireless networks, security and dependability. She has worked on providing resilience to self-organized, cognitive and wireless networks by adaptive and opportunistic approaches. Dr. Nogueira was one of the pioneers in addressing survivability issues in self-organized wireless networks, being the works “A Survey of Survivability in Mobile Ad Hoc Networks” and “An Architecture for Survivable Mesh Networking” her prominent scientific contributions. She has been a recipient of Academic Scholarships from Brazilian Government on her undergraduate and graduate years, and of international grants such as from the ACM SIGCOMM Geodiversity program. She is also Associate Technical Editor for the IEEE Communications Magazine and the Journal of Network and Systems Management.​

PhD Defense: “From Mobile to Cloud: Using Bio-Inspired Algorithms for Collaborative Application Offloading”, by Roya Golchay, on 26th January


Philippe ROOSE, Maître de Conférences HDR, Université de Pau et des Pays de l’Adour
Sophie CHABRIDON, Maître de Conférences HDR, Télécom SudParis

Bernard TOURANCHEAU, Professeur des Universités, Université Joseph Fourier
Philippe LALANDA, Professeur des Universités, Université Joseph Fourier
Jean-Marc PIERSON, Professeur des Universités, Université Paul Sabatier, Toulouse 3France

Frédéric LE MOUEL, Maître de conférences, INSA de Lyon
Stéphane FRENOT, Professeur des Universités, INSA de Lyon


Not bounded by time and place, and having now a wide range of capabilities, smartphones are all-in-one always connected devices – the favorite devices selected by users as the most effective, convenient and necessary communication tools. Current applications developed for smartphones have to face a growing demand in functionalities – from users, in data collecting and storage – from IoT device in vicinity, in computing resources – for data analysis and user profiling; while – at the same time – they have to fit into a compact and constrained design, limited energy savings, and a relatively resource-poor execution environment. Using resource- rich systems is the classic solution introduced in Mobile Cloud Computing to overcome these mobile device limitations by remotely executing all or part of applications to cloud environments. The technique is known as application offloading.

Offloading to a cloud – implemented as geographically-distant data center – however introduces a great network latency that is not acceptable to smartphone users. Hence, massive offloading to a centralized architecture creates a bottleneck that prevents scalability required by the expanding market of IoT devices. Fog Computing has been introduced to bring back the storage and computation capabilities in the user vicinity or close to a needed location. Some architectures are emerging, but few algorithms exist to deal with the dynamic properties of these environments.

In this thesis, we focus our interest on designing ACOMMA, an Ant-inspired Collaborative Offloading Middleware for Mobile Applications that allowing to dynamically offload application partitions – at the same time – to several remote clouds or to spontaneously-created local clouds including devices in the vicinity. The main contributions of this thesis are twofold. If many middlewares dealt with one or more of offloading challenges, few proposed an open architecture based on services which is easy to use for any mobile device without any special requirement. Among the main challenges are the issues of what and when to offload in a dynamically changing environment where mobile device profile, context, and server properties play a considerable role in effectiveness. To this end, we develop bio-inspired decision-making algorithms: a dynamic bi-objective decision-making process with learning, and a decision-making process in collaboration with other mobile devices in the vicinity. We define an offloading mechanism with a fine-grained method-level application partitioning on its call graph. We use ant colony algorithms to optimize bi-objectively the CPU consumption and the total execution time – including the network latency.

PhD Defense: “Impact of a local and autonomous decision on intelligent transport systems at different scales”, by Marie-Ange Lèbre, on 25th January


Arnaud De La Fortelle, Mines ParisTech
Abdellah Moudni, Université de Technologie de Belfort-Montbéliard

Farouk Yalaoui, Université Technologique de Troyes
Marco Fiore, CNR-IEIIT, Italie

Frédéric Le Mouël, Insa de Lyon
Stéphane Frénot, Insa de Lyon
Eric Ménard, Valeo


In this thesis we present vehicular applications across different scales: from small scale that allows real tests of communication and services; to larger scales that include more constraints but allowing simulations on the entire network. In this context, we highlight the importance of real data and real urban topology in order to properly interpret the results of simulations (production of a real trace). We describe different services using V2V and V2I communication. In each of them we do not pretend to take control of the vehicle, the driver is present in his vehicle, our goal is to show the potential of communication thanks to local decisions. In the small scale, we focus on a service with a traffic light that improves travel times, waiting times and CO2 and fuel consumption. The medium scale is a roundabout, it allows, through a decentralized autonomous and probabilist algorithm, to improve the same parameters. It also shows that with a simple and decentralized decision-making process, the system is robust to packet loss, density, human behavior or equipment rate. Finally on the scale of a city, we show that local and decentralized decisions, with only a partial access to information in the network, lead to results close to centralized solutions. The amount of data in the network is greatly reduced. We also test the response of these systems in case of significant disruption in the network such as accidents, terrorist attack or natural disaster. Models, allowing local decision thanks to information delivered around the vehicle, show their potential whatsoever with the V2I communication or V2V.


“De l’impact d’une décision locale et autonome sur les systèmes de transport intelligent à différentes échelles”.

Les environnements connectés sont en plein essor, grâce aux différents supports technologiques couplés aux nouvelles technologies de l’information et de la communication. Le milieu urbain et véhiculaire ne déroge pas à la règle ; la communication entre les véhicules et l’infrastructure permet d’imaginer une quantité considérable de nouveaux services, rendant la ville toujours plus intelligente et efficace.

Dans cette thèse nous présentons des applications véhiculaires au sein de différentes échelles : de la petite échelle qui permet d’effectuer des tests réels de communication et de service, à des échelles plus grandes incluant plus de contraintes mais permettant des simulations sur l’ensemble du réseau. Dans ce contexte, nous soulignons l’importance de traiter des données réelles (production d’une trace) afin de pouvoir interpréter correctement les résultats des simulations. Nous proposons alors, différents services utilisant les communications V2V et V2I. Dans ces derniers, nous ne prétendons pas prendre le contrôle du véhicule, notre but est de montrer le potentiel et l’impact de prise de décisions locales sur le milieu urbain grâce à la communication véhiculaire. A petite échelle, nous nous focalisons sur un service comprenant un feu de circulation, permettant d’améliorer les temps de parcours et d’attente, ainsi que la consommation en CO2 et en carburant. La moyenne échelle se situant sur un rond-point, permet, grâce à un algorithme décentralisé autonome et probabiliste, d’améliorer ces mêmes paramètres et montre également qu’avec une prise de décision simple et décentralisée, le système est robuste face à la perte de paquet, à la densité, ou encore aux taux d’équipement. Enfin, à l’échelle d’une ville, nous montrons que des décisions prises de manière locale et décentralisée, avec un accès à une information partielle dans le réseau, donnent des résultats proches des solutions centralisées. Ainsi la quantité de données transitant dans le réseau est considérablement diminuée. Nous testons également la réponse de ces modèles en cas de perturbation plus ou moins importante, tels que un accident, un acte terroriste ou encore une catastrophe naturelle. Les modèles permettant une prise de décision locale grâce aux informations délivrées autour d’un véhicule, montrent leur potentiel, que se soit avec la communication V2I ou V2V.