Group: SDC, Réseaux
Topic: Wireless Networks for Factories 4.0
M2 Research 2015–2016
Modeling a Full Wireless Network Stack with Guarantees for the Industry 4.0
Location Research groups : SDC (Data Science and Knowledge) & Networks, ICube (UMR CNRS 7357) Encadrants Cecilia Zanni-Merk([email protected]), FabriceTheoleyre ([email protected]), An-
toineGallais([email protected]), StellaMarc-Zwecker([email protected]).
Keywords
Industry 4.0, Industrial Internet of Things (IIoT), wireless networks, ontologies.
Context
This work fits the topic of Smart Factories. Industry 4.0 aims at organizing the new production devices to improve the productivity. To provide a fully automatized environment, all the devices must be connected together, pushing measures into the cloud. A central entity continuously handle this data to reconfigure the manufacturing system.
To reduce the deployment costs and to make the system reconfigurable, we deploy often wireless sensors and actuators.
However, reliability in this Industrial Internet of Things (IIoT) is of prime importance[1].
Work
During this internship, we aim at modeling the full stack (from the link layer to the application) with ontologies.
By exploiting this model, we will be able to prove the minimum performance criteria can be guaranteed (e.g. reactivity, reliability).
The student will first study the literature considering the wireless networks [1]. He will analyze the existing models, and will select the most accurate (and tractable) to integrate in the final modeled stack.
He will also study the ontologies developed by Compton et al [2], and the relathionship between these concepts and the anlaysis of Ye et al, [3]. He will extend the work of Toro et al [4] to propose a formal ontology of the communication stack (databus, sensors, actuators) for the IIoT.
Skills
— software programming (e.g. Python) ;
— basic knowledge in networking (link layer, PHY layer)
— an interest for wireless networks, and the Internet of Things
— basic knowledge in semantic web modeling (ontologies)
— an interest for knowledge conceptualization and data modeling.
Expected results
— models for the communication layers (losses, distributions, etc.)
— a formal ontology of the communication layers, in coherence with the higher layers in Toro’s model [4].
Références
[1] Li Da Xu, Wu He, and Shancang Li. Internet of things in industries : A survey. Industrial Informatics, IEEE Transactions on, 10(4) :2233–2243, Nov 2014.
[2] Michael Compton, Payam Barnaghi, Luis Bermudez, Raúl García-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth, and Kerry Taylor. The {SSN} ontology of the {W3C} semantic sensor network incubator group. Web Semantics : Science, Services and Agents on the World Wide Web, 17 :25 – 32, 2012.
[3] Juan Ye A, Stamatia Dasiopoulou B, Graeme Stevenson A, Georgios Meditskos B, Vasiliki Efstathiou B, Ioannis Kompatsiaris B, and Simon Dobson A. Ios press semantically-enriched pervasive sensor-driven systems 1.
[4] Carlos Toro, Iñigo Barandiaran, and Jorge Posada. A perspective on knowledge based and intelligent systems implementation in industrie 4.0. Procedia Computer Science, 60 :362 – 370, 2015.
