Un Réseau de Recouvrement Intelligent Pour Des - Sophia Antipolis, France - Université Côte d'Azur

Université Côte d'Azur
Université Côte d'Azur
Entreprise vérifiée
Sophia Antipolis, France

il y a 3 semaines

Sophie Dupont

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Sophie Dupont

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Description

Un réseau de recouvrement intelligent pour des objets IoT distribués // Overlay network for distributed IoT:

  • Réf
    ABG-122693

ADUM-56505

  • Sujet de Thèse 11/04/2024
  • Université Côte d'Azur
  • Lieu de travail
  • Sophia Antipolis Cedex
  • France
  • Intitulé du sujet
  • Un réseau de recouvrement intelligent pour des objets IoT distribués // Overlay network for distributed IoT
  • Mots clés
  • IoT, routing, peertopeer, reputation assessment, oneM2M standard
- peer-to-peer, reputation assessment
Description du sujet:

  • The PhD research plan will focus on models, technologies, protocols and tools aimed at the design, implementation, and exploitation of IoT middleware framework based on ETSI oneM2M2 standard.


Their main key features will be:

i) independence from the Edge world (allowing a smooth plug & play of different kinds of sensors, actuators and embedded devices); ii) independence from communication technologies (allowing a smooth handover according to the current operational scenario); iii) distributed intelligence and resource management.


  • In solo, many proprietary frameworks have been proposed to for years. However, none were implemented in a coherent and coordinated and responsive way using the same format and protocols; the analogy with the preInternet era is apparent.
  • One of the reasons is the lack of common standards for IoT globally adopted such as could derive as a byproduct of an IoT communication standard. The project aims to develop a breakthrough, by extending the ETSI oneM2M IoT standard with new routing protocols and suitable network topologies, and materialize it into an infrastructure and a uniform middleware based on oneM2M.
  • More precisely, the proposal aims to investigate both theoretical and practical issues and a coordination languages in order to:
  • collect the information produced by heterogeneous sensors;
- correlate it to specific location and areas on the territory;
- elaborate and augment such information, including territory diffusion forecasts, by means of data fusion, empowered AI techniques and algorithms;
- share and route the elaborated information within the network topology;
- share the elaborate information with the citizen via Web services and Smart Applications;
- integrate the resulting IoT overlay network using heterogeneous and mesh underlay network technologies, peer-to-peer inspired that usually walk on specific pathways with poor or no integration at all;
- publish results in high-level international conferences and journals;
- standardize all the achieved results via the ETSI standardisation procedures.

The PhD research plan will focus on models, technologies, protocols and tools aimed at the design, implementation, and exploitation of IoT middleware framework based on ETSI oneM2M2 standard.


Their main key features will be:
- i) independence from the Edge world (allowing a smooth plug & play of different kinds of sensors, actuators and embedded devices);
- ii) independence from communication technologies (allowing a smooth handover according to the current operational scenario);
- iii) distributed intelligence and resource management.

  • In solo, many proprietary frameworks have been proposed to for years. However, none were implemented in a coherent and coordinated and responsive way using the same format and protocols; the analogy with the preInternet era is apparent.
  • One of the reasons is the lack of common standards for IoT globally adopted such as could derive as a byproduct of an IoT communication standard. The project aims to develop a breakthrough, by extending the ETSI oneM2M IoT standard with new routing protocols and suitable network topologies, and materialize it into an infrastructure and a uniform middleware based on oneM2M.
  • More precisely, the proposal aims to investigate both theoretical and practical issues and a coordination languages in order to:
  • collect the information produced by heterogeneous sensors;
- correlate it to specific location and areas on the territory;
- elaborate and augment such information, including territory diffusion forecasts, by means of data fusion, empowered AI techniques and algorithms;
- share and route the elaborated information within the network topology;
- share the elaborate information with the citizen via Web services and Smart Applications;
- integrate the resulting IoT overlay network using heterogeneous and mesh underlay network technologies, peer-to-peer inspired that usually walk on specific pathways with poor or no integration at all;
- publish results in high-level international conferences and journals;
- standardize all the achieved results via the ETSI standardisation procedures

Début de la thèse :

01/10/2024-
Nature du financement:
Précisions sur le financement:


  • Contrat doctoral EDSTIC-UCA ou EUR-DS4H
    Présentation établissement et labo d'accueil:
  • Université Côte d'Azur
    Etablissement délivrant le doctorat:
  • Université Côte d'Azur
**Ecole doct

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