Research & Development
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Next Generation IoT as part of Next Generation Internet

Duration: 01/10/2020 - 30/09/2023

Total funding: EUR 7,998,622.00

Challenge & Objectives

Internet of Things (IoT) is one of the next big concepts to support societal changes and economic growth, being one of the fastest growing ICT segments. A specific challenge is to leverage existing technology strengths to develop solutions that sustain the European industry and values.

IoT-NGIN introduces novel research and innovation concepts, to establish itself as the “IoT Engine” that will fuel the Next Generation of IoT as a part of the European Next Generation Internet. First, IoT-NGIN uncovers a patterns-based meta-architecture that encompasses evolving, legacy, and future IoT architectures. Second, it optimizes IoT/M2M and 5G/MCM communications, including using secure-by-design micro-services to extend the edge cloud paradigm. Thirdly, it enables user and self-aware, autonomous IoT systems through privacy-preserving federated ML and ambient intelligence, with AR support for humans. Finally, IoT-NGIN researches towards distributed IoT cybersecurity and privacy, for example, using Self-Sovereign Identities and interconnected DLTs to implement Meta-Level Digital Twins.

IoT-NGIN will be validated via more than 30 types of heterogeneous IoT devices, ranging from tiny resource constrained IoT sensors to intelligent, autonomous buses, drones and robots, deployed in one of the most prestigious IoT/5G lab (OneLab) and five Living Labs: the “Twin Cities” Living Lab in Helsinki/Tallinn, a fully customizable Smart Agri Living Lab in Greece, the BOSCH and the ABB employee-friendly Industry 4.0 facilities in Barcelona and Helsinki, and a hybrid field-lab facility focused on Smart Energy, interconnecting Terni City and EDD Eurolab in Aachen. Beyond partners exploitation plans, to maximize impact and sustainability, IoT-NGIN will push all results via alliances, clusters, SDOs and DIHs, including FIWARE, BDVA, and AIOTI, offer developed software as open source, and organize open Open Calls to engage FGPA/ ASIC/fabless and IoT application developers.

In IoT-NGIN eBOS will be leading activities related to collecting, analysing, and documenting requirements for the ‘Next Generation IoT Meta-Architecture’ that will be developed in the project. eBOS will also contribute to activities related to the refinement of the use cases, the elaboration of the detailed architecture of the IoT-NGIN Platform and technical specifications of relevant components along with the testing framework for the validation and benchmarking of the results.In IoT-NGIN eBOS will be leading activities related to collecting, analysing, and documenting requirements for the ‘Next Generation IoT Meta-Architecture’ that will be developed in the project. eBOS will also contribute to activities related to the refinement of the use cases, the elaboration of the detailed architecture of the IoT-NGIN Platform and technical specifications of relevant components along with the testing framework for the validation and benchmarking of the results.

Additionally, eBOS will:

  • Support the continuous technology watch on next generation IoT advancements so that these can be aligned with the project’s innovations
  • Contribute to the analysis of the next generation of IoT Privacy, data protection, Ethics, Security & Societal (PRESS) concerns
  • Participate in the realisation of methods and tools to enhance IoT devices discovery and recognition
  • Undertake exploitation and dissemination activities.

 

Consortium

CAPGEMINI TECHNOLOGY SERVICES

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ATOS SPAIN S.A.

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ERICSSON GMBH

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ABB OY

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INTRASOFT INTERNATIONAL S.A.

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ENGINEERING INGEGNERIA INFORMATICA S.P.A.

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BOSCH SISTEMAS DE FRENADO, S.L.U

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ASM TERNI

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FORUM VIRIUM HELSINKI OY

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OPTIMUM S.A.

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EBOS TECHNOLOGIES LTD

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PRIVANOVA SAS

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SYNELIXIS S.A.

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SYNELIXIS S.A.

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EMOTION S.R.L

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AALTO UNIVERSITY FOUNDATION

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FUNDACIÓ I2CAT, INTERNET I INNOVACIÓ DIGITAL A CATALUNY

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RWTH, INSTITUTE FOR AUTOMATION OF COMPLEX POWER SYSTEMS (ACS)

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SORBONNE UNIVERSITÉ

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This project has received funding from the European Union's Horizon 2020 Research and Innovation programme under grant agreement No 957246.