Technical Approach

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, acting as the “IoT Engine” which will fuel the Next Generation of IoT as a part of the European Next Generation Internet. IoT-NGIN uncovers a patterns based meta-architecture that encompasses evolving, legacy, and future IoT architectures. The project also optimizes IoT/M2M and 5G/MCM communications, including using secure-by-design micro-services to extend the edge cloud paradigm.Moreover, it enables IoT systems to be self-aware and autonomous through privacy-preserving federated ML and ambient intelligence with AR support for humans. Distributed IoT cybersecurity and privacy, for example, using Self-Sovereign Identities and interconnected DLTs to implement Meta-Level Digital Twins, are also among the main priorities of IoT-NGIN.

In a nutshell

  • IoT-NGIN federation approach
    • on-the-fly adaptation and interpretation of heterogenous data and control messages
    • privacy preserving federated ML training – Distributed AI
    • keeping the data in their original locations
    • Inter-DLT technologies for secure and trusted data sharing
    • Zero knowledge techniques for ML models verification without disclosing any data
  • Patterns based meta-architecture
    • evolving, legacy, and future IoT architectures
  • Optimized IoT/M2M and 5G/MCM communications
    • secure-by-design micro-services to extend the edge cloud paradigm
  • Enabling user and self-aware, autonomous IoT systems
    • privacy-preserving federated ML
    • ambient intelligence, with AR support for humans
  • Researches towards distributed IoT cybersecurity and privacy
    • Self-Sovereign Identities
    • interconnected DLTs
    • Meta-Level Digital Twins

Expected R&I Results


  • IoT Meta Architecture
  • Enhance IoT/5G Further Enhancement Device-to-Device (FeD2D)
  • Data sovereignty and privacy “by design”
  • Privacy preserving federated ML
  • Protection against attacks on federated ML
  • DLT-based meta-level Digital Twins


  • Optimising 5G resource allocation
  • Ultra reliable IoT based on Time Sensitive Networking
  • Secure edge cloud IoT micro-services execution framework
  • Ambient Intelligence monitoring and control
  • Dynamic machine self-learning framework