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PhD position - Synchronisation of wireless IoT networks under integration & consumption constraints
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JOB DETAILS
Published: 1 month ago
Application deadline: Oct 31
Location: Grenoble, France
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PhD position - Synchronisation of wireless IoT networks under integration & consumption constraints

SL-DRT-18-0460

RESEARCH FIELD

Automatics, Remote handling

ABSTRACT

Application and research context : One of main trends in Internet of Things (IoT) goes to low power consumption systems, entirely autonomous in their mission, with capabilities of operation in network ensuring the information transfer to ground or air based station. For one of our future IoT applications in the context of local monitoring (Local Seismology, Microclimat, Local Airflow, Soil and crop state) using a network of spatially distributed sensors (hundreds in < 100m range between communication nodes) and a drone based station, the question of the information transfer from each node to the base station necessarily arises. The main problem happens during a short time fly-by over the nodes by the drone. Since the nodes are not necessarily all connected to the base station, the network information cannot be fully transferred to the base. In general, the communication phase being extremely power consuming, an asynchronous transfer approach cannot be used due to among others a high number of nodes in the network. Targeting the low power consumption for the overall network, low bandwidth for the communication channels (about 200Hz) and guarantee of the minimum communication time might be possible through the decentralized synchronization between the nodes where the base station is used as the reference. In this context, one has to ensure the synchronization of spatially distributed clocks (time domain criterion) together with spectral constraints for the carrier signal (frequency domain criteria). The main objective is to find the most efficient clock synchronization solution based on the extensive use of signal processing and automatic control techniques that may deal with numerous aspects of the initial application specification such as synchronization constraints expressed in time and frequency domains as well as the decentralized character of the problem. Scientific challenges and possible contributions : This thesis will tackle new scientific challenges coming actually to the IoT from the ultra-low consumption needs, distributed architectures, and Ultra Narrow Band communication specifications. The first challenge consists in introducing a clock synchronization algorithm that involves uncertain/dynamic delays between nodes and the base station signals that are unavoidable and often neglected by the State-of-the-Art. The second challenge is to face the variable character of the interconnection topology between nodes and the base station due to the fly-by phase. In that case the base station will not constantly have connection to a chosen node but fly through a sequence of one or multiple nodes with varying IDs during the fly-by. The relative Doppler frequency shift will have impact on the network operation frequency. Thus, the potential main contribution of the thesis is to propose a solution for a Control Theory Problem being not formulated before in the context of the communication network design. On the other hand, this solution allow to pave the way to the “quartzless” communication System on Chip (SoC) for IoT being extremely challenging since the constraints of overall consumption, frequency and phase stability are the main questions actually arise.

LOCATION

Département Architectures Conception et Logiciels Embarqués (LIST-LETI)

Laboratoire Infrastructure et Ateliers Logiciels pour Puces

Grenoble

CONTACT PERSON

ZARUDNIEV Mykhailo

CEA

DRT/DACLE//LIALP-LETI

CEA, MINATEC CAMPUS, 17 rue Des Martyrs, 38054, GRENOBLE CEDEX 9

Phone number: +33438783576

Email: mykhailo.zarudniev@cea.fr

UNIVERSITY / GRADUATE SCHOOL

Ecole Centrale Lyon

Electronique, Electrotechnique et Automatique (EEA)

START DATE

Start date on 01-10-2018

THESIS SUPERVISOR

SCORLETTI Gérard

Ecole Centrale de Lyon

Automatique Traitement du Signal

Ecole Centrale de Lyon36, av. Guy-de-Collongue69134 Ecully

Phone number: 0472186455

Email: Gerard.Scorletti@ec-lyon.fr

« The age limit is 26 years for PhD offers and 30 years old for post-doc offers. »

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