PhD Defence: “Study and development of wireless sensor network architecture tolerant to delays”, Yosra Zguira, Est Amphitheater, Humanities Building, 20th of December 2018, at 14h00

Title

Study and development of wireless sensor network architecture tolerant to delays

Abstract

Transport has become fundamental in the cities to the well functioning of the economy and the welfare of the city population. For several years, transportation faces many issues such as traffic jamming, high accidents rate, unhealthy life due to smoke and dust, air pollution as a result of carbon emission, etc. To deal with these matters, researches integrate digital technologies to ground transportation which is known as Intelligent Transport System (ITS). ITS can sense, analyze, collect, control and communicate different data. This thesis investigates and proposes a new protocol for data collection applications in an urban environment.

We make three main contributions: firstly, we propose a new protocol denoted the “Internet of Bikes” IoB-DTN protocol which applies Delay/Disruption Tolerant Network (DTN) paradigm to the Internet of Things (IoT) applications running a data collection application on urban bike sharing system based sensor network. The protocol is evaluated on a realistic scenario by assessing the buffer management policies, the number of copies sprayed in the network as well as the number of bicycles used. Secondly, a comparative evaluation of the performance of the multi-hop IoB-DTN protocol with a low-power wide-area network (LPWAN) technology, LoRa/LoRaWAN type is investigated. LPWAN have been designed to provide cost-effective wide area connectivity for small throughput IoT applications: multiyear lifetime and multikilometer range for battery-operated mobile devices. This part of our work aims at providing network designers and managers insights on the most relevant technology for their urban applications that could run on bike sharing systems. Finally, we propose an efficient IoB-DTN protocol based on data aggregation mechanism. We propose three variants of IoB-DTN: IoB based on spatial aggregation (IoB-SA), IoB based on temporal aggregation (IoB-TA) and IoB based on spatio-temporal aggregation (IoB-STA). We compare the three variants with the multi-hop IoB-DTN protocol without aggregation and the low-power long-range technology, LoRa type. Comparison results verify that the three variants of IoB-DTN based on data aggregation improve several metrics such as the delivery rate, energy consumption and throughput.

 

Jury

  • Nathalie MITTON, Directrice de recherche Inria, Rapporteure
  • Mohamed MOSBAH, Professeur des Universités, Bordeaux INP, Rapporteur
  • Bertrand DUCOURTHIAL, Professeur des Universités, UTC, Examinateur
  • Alexandre GUITTON, Professeur des Universités, Clermont Auvergne, Examinateur
  • Hervé RIVANO, Professeur des Universités, INSA Lyon, Co-directeur de thèse
  • Aref MEDDEB, Professeur des Universités, ENISO Sousse, Directeur de thèse

CITI is hiring an intern

Déploiement d’un laboratoire 6lowpan

 

Ce stage a pour objectif la mise en place et l’administration d’un réseau d’objets connectés (IoT) ainsi que le développement d’applications qui seront utilisées au sein du réseau. Les objets reposeront sur le protocole 6lowpan (802.15.4 pour la couche PHY et MAC) pour communiquer. Enfin les objets déployés seront majoritairement des Raspberry PI 2 et 3 équipés de dongles pour émettre et recevoir les paquets. Un dernier objectif consistera à écouter de manière discrète le trafic ainsi généré par les applications.

 

Fiche complète ici : stage-6lowpan-citi


CITI Talk: “On combining Networking with Computing and Research with Innovation”, Pascale Vicat-Blanc (INRIA-Agora) on December 12th at 2pm

Title:
On combining Networking with Computing and Research with Innovation
Summary:
Integrating virtualised network, caching and computing into one system is becoming a natural trend to support very demanding emerging mobile applications.
I have been exploring and contributing to these ideas since many years in the context of high-performance computing (HPC), DataGrids, Cloud infrastructures, Software as a service and the Internet of Things. In this talk, I propose to articulate the researches and developments I had the chance to conduct on this topic in academic, start-up and industrial environments, and to summarise the lessons learned from these experiences. I will then briefly present my new perspectives in the field of augmented intelligence for analysing and optimising fog systems integrating tightly networking and computing.

 

Short Bio:
Pascale Vicat-Blanc is senior scientist at Inria. After a career as Assistant Professor at Ecole Centrale de Lyon, she joined INRIA at ENS Lyon. As the head of the RESO project team she has supervised a dozen of thesis on advanced networking and Internet protocols and co-authored 150+ articles. She had a leading role in many national and EU initiatives like eToile with EDF and CEA, DataGrid with CERN, Geysers with SAP or SAIL with Ericsson and Orange. She helped with the creation of the national Grid5000 instrument as well as of the INRIA-Bell Labs with Nokia. She received the Joliot-Curie Award from the Ministry of Research in 2011 and the Innovation Award from Académie des Sciences, INRIA and Dassault Systems in 2013. In 2010, with a team of four PhD students she launched the Lyatiss startup for valorising their research results in the domain of IT infrastructure virtualisation and orchestration. Then, they launched a SaaS (Software as a Service) company in USA, CloudWeaver, extending the technology developed by Lyatiss with TCP sensors and machine learning tools to provide network performance insights to AWS and GCE customers. Then, acquired by F5 networks (FFIV), they integrated CloudWeaver analytics pipeline with the F5’s MANO platform. After that, Pascale was appointed as the F5 IoT initiative leader to define the IoT strategy and products of the company. Since September 2018, Pascale Vicat-Blanc is back to France and INRIA. Member of the Agora team, CITI lab at INSA, she is starting new researches in the domain of fog computing and networking for smart cities.

[Pop’Sciences Forum] Big Data, Big City, Big Mother

Venez poser un regard critique et constructif sur les enjeux, les opportunités et les limites des transformations de l’urbain par le numérique.

 

C’est Lundi 3 Décembre au Tuba à Lyon, plus d’info ici.

Au programme :

• 09H00 – 19H00 | Atelier créatif : QUI VA PAYER LA VILLE INTELLIGENTE ?
• 19H00 | Carte-blanche à Marie-Cécile Paccard, designer : LA VILLE DE DEMAIN, PLUTÔT “SMART” QUE “BIG MOTHER” !
• 19H45 | Pop’Cast (émission radio participative) : BIG DATA EN VILLE – Opportunités et limites pour la vie privée et les biens communs.
• 21H15 | Ciné-débat : IS BIG DATA WATCHING US ? Black-mirror donne le change


Seminar of Carles Antón-Haro (Telecommunications Technological Center of Catalonia) on September 27th at 9.30am

The next CITI seminar will take place on September 27th, at 9.30am in the margin of Yuqi PhD defense. This seminar entitled “Machine- and Deep-Learning for Beam Selection in Hybrid Analog Beamforming Architectures” will be presented by Carles Antón-Haro from Telecommunications Technological Center of Catalonia.

Titre : Machine- and Deep-Learning for Beam Selection in Hybrid Analog Beamforming Architectures

Abstract : This talk deals with the application of deep learning (DL) and machine learning (ML) techniques to beam selection problems in the uplink of a mmWave communication system. Specifically, we consider a hybrid beamforming architecture comprising an analog beamforming (ABF) network followed by a zero-forcing baseband processing block. The goal is to select the optimal configuration for the ABF network based on the estimated AoAs of the various user equipments. To that aim, we consider (i) two supervised machine-learning approaches: k-nearest neighbors (kNN) and support vector classifiers (SVC); and (ii) a feed-forward deep neural network: the multilayer perceptron (MLP). Computer simulations reveal that, for a well-designed codebook of analog beamformers, this task can be effectively accomplished by such data-driven schemes. Performance, in terms of sum-rate, is very close to that achievable via exhaustive search, in particular for the MLP.

Bio : Carles Antón-Haro received his PhD degree in Telecommunications Engineering from the Technical University of Catalonia in 1998 (cum-laude). He also holds a Master in Business Administration (MBA) from EADA Business School (2014, Best Final Degree Project Award). In the pursuit of his PhD degree, he was a recipient of scholarship granted by the Dept. of Universities and Research of the Generalitat de Catalunya (1995-1998). As a Research Assistant (1994-1998, UPC) and Research Associate (1998-1999, UPC), he participated in several EC Projects (Tsunami, Tsunami II, Sunbeam), as well as in other projects funded by the Spanish government. He was Teaching Assistant in the field of Computer Architecture (UPC 1994, UOC 1998-2012). In 1999, he joined Ericsson Spain, where he participated in two rollout projects of 2G and 3G mobile networks (2000, Regional Coordinator).

Currently, he is with the CTTC, where he works as a Director of R&D Programs and Senior Research Associate. Main duties, in addition to his daily research activity, include the overall coordination of CTTC’s participation in publicly-funded R&D projects and technology transfer projects, networking activities towards the establishment of strategic alliances with the industry and academia, monitoring of R&D funding programs and identification of new opportunities, and interaction with CTTC’s Scientific Committee in what concerns R&D programs. In the past, he was also in charge of the recruitment of human resources at the CTTC, and he defined the internal processes in relation with CTTC’s project portfolio. Since 2001, he has promoted or coordinated over 60 R&D projects or proposals and has been directly involved in some of them (P2P SmartTest, NEWCOM#, EXALTED, eCROPS, ADVANTAGE, WINNER, to name a few). He is an elected member of the Steering Board of the Networld2020 European Technology Platform since 2009 (formerly known as Net!works).

His research interests are in the field of signal processing for communications, this including radio interface design, multi-user MIMO, wireless sensor networks, opportunistic communications, link layer protocols (MAC, H-ARQ); and estimation theory with emphasis in state estimation for Smart Electricity Grids. He has published +20 technical papers in IEEE journals, books and book chapter; as well as +80 papers in international and national conferences. He is a recipient of the 2015 Best Paper Award of the Transmission, Access, and Optical Systems (TAOS) Technical Committee’s (Green Communications Track, ICC). He has supervised four Master Theses and five PhD Theses (two in progress). He has also acted as a reviewer of project proposals for various (inter)national funding agencies (e.g., ANEP, AGAUR, MIUR, ANR, ANVUR) and takes part in PhD Evaluation Committees on a regular basis.

 


CITI Talk: “Source coding under massive random access: theory and applications”, Aline Roumy (INRIA Rennes), Wednesday, September 12th at 11am in TD-C

TITLE: Source coding under massive random access: theory and applications.

Date – 12/09/18,11h-12h, TD-C.

ABSTRACT:
In this presentation we will introduce a novel source coding problem allowing massive random access to large databases. Indeed, we consider a database that is so large that, to be stored on a single server, the data have to be compressed efficiently, meaning that the redundancy/correlation between the data have to be exploited. The dataset is then stored on a server and made available to users that maywant to access only a subset of the data. Such a request for a subset of the data is indeed random, since the choice of the subset is user-dependent. Finally, massive requests are made, meaning that, upon request, the server can only perform low complexity operations (such as bit extraction but no decompression/compression).
After describing the problem, information theoretical bounds of the source coding problem will be derived. Then two applications will be presented: Free-viewpoint Television (FTV) and massive requests to a database collecting data from a large-scale sensor network (such as Smart Cities).

BIO:
Aline Roumy received the Engineering degree from Ecole Nationale Superieure de l’Electronique et de ses Applications (ENSEA), France in 1996, the Master degree in 1997 and the Ph.D. degree in 2000 from the University of Cergy-Pontoise, France. During 2000-2001, she was a research associate at Princeton University, Princeton, NJ. OnNovember 2001,she joined INRIA, Rennes, France as a research scientist. She has held visiting positions at Eurecom and Berkeley University. She serves as an Associate Editor for the Annals of telecommunications. Her current research and study interests include the area of statistical signal and image processing, coding theory and information theory. She is currently leading a project entitled Interactive Communication (InterCom) on Massive random access to subsets of compressed correlated data, and supported by the French Cominlabs excellence laboratory.


CITI Talk: “IF Neuron: theoretical study and application to digital communication”, Anne Savard (Associate Professor, IMT Lille), July 9th, at 10:30 am in TD-D room

Title

IF Neuron: theoretical study and application to digital communication

Abstract

In the context of digital communication, one main mechanism proposed in the literature to overcome the large consumption of MAC layers when establishing communications is called wake-up radio: The main processor is only waking up when receiving a specific signal, as for instance the node ID in the network. Unfortunately, since most of the wake-up receivers rely on standard micro-controller, they suffer a large decrease of energy efficiency. Nevertheless, if the wake-up receivers was designed with neuromorphic circuits, one could achieve high energy efficiency for IoT and ad hoc networks.

The main question that is tackled in this presentation is whether a neuro-inspired detection scheme using an Integrate-and-Fire neuron is reliable enough when one needs to detect a weak signal surrounded by noise.

Biography

Anne Savard received the Eng. degree in Electrical Engineering with specialization in Multimedia Systems from the Ecole Nationale Supérieure de l’Electronique et de ses Applications (ENSEA), Cergy-Pontoise, France, and the M.Sc. degree in Intelligent and Communicating Systems from Univeristé Cergy-Pontoise, both in 2012.

From October 2012to September 2015,she was a PhD student at ETIS Laboratory/ENSEA, under the supervision of Claudio Weidmann and David Declercq. Her research interests include modern channel coding, cooperative communication and multi-user information theory.

She defended her PhD entitled ‘Coding for cooperative communications: Topics in distributed source coding and relay channels’ on September, 22th, 2015.