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Architecture for Scalable, Self-*, human-centric, Intelligent, Secure, and Tactile next generation IoT

Project description

Paving the way for new human-machine interaction

The evolution of human-machine interaction is just as remarkable as the technological advances that made the impossible possible and changed the way we live. The relationship with machines has been redefined: machines moved from tool to partner and from automation to autonomy. The Internet of Things is connecting physical, digital, virtual and cyber worlds, leading to a new evolution in human-machine interaction. The next-generation tactile internet will allow real-time interaction between humans and machines, as well as between machines. The EU-funded ASSIST-IoT project will develop the reference architecture in which intelligence can be distributed among nodes by implementing artificial intelligence and machine learning close to data generation and actuation, and hyperconnecting nodes, in the edge-cloud continuum, over softwarised smart networks.

Objective

ASSIST-IoT will provide an innovative reference architecture, envisioned as a decentralized ecosystem, where intelligence is distributed among nodes by implementing AI/ML close to data generation and actuation, and hyperconnecting nodes, in the edge-cloud continuum, over softwarized smart network. Smart network will be realised by means of virtualized functions, with clear separation of control and data planes, facilitating efficient infrastructure programmability. Moreover, the action will follow a DevSecOps methodology to ensure the integration of security, privacy, and trust, by design, in all aspects of the envisioned ecosystems.
ASSIST-IoT will be supported by several pillars: (i) innovative IoT architecture, to adapt to the NGI paradigm, with three-dimensional approach, including intelligence, security and privacy by design, supporting decentralized collaborative decision-making; (ii) moving from semantic interoperability to semantically-enabled cross-platform, cross-domain data transactions, within decentralized governance, DLT-anchoring transaction security, privacy and trust; (iii) development and integration of innovative devices, supporting context-aware computing, to enable effective decision making close to events; (iv) introduction of self-* mechanisms, supporting self-awareness and (semi-)autonomous behaviours across IoT deployments, and (v) Tactile Internet support for latency applications, like AR/VR/MR, and human-centric interaction with IoT components. Results of the action will provide foundation for a comprehensive practice-based methodology, for future designers and implementers of smart IoT ecosystems.
Finally, to validate research results, and developed solutions, and to ensure their wide applicability, extended pilot deployments with strong end-user participation will take place in: (i) port automation; (ii) smart safety of workers, and (iii) cohesive vehicle monitoring and diagnostics, bringing about domain-agnostic aspect of the approach.

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Keywords

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Topic(s)

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Funding Scheme

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-ICT-2018-20

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Coordinator

UNIVERSITAT POLITECNICA DE VALENCIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 901 221,37
Address
CAMINO DE VERA SN EDIFICIO 3A
46022 VALENCIA
Spain

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Region
Este Comunitat Valenciana Valencia/València
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 901 221,37

Participants (18)

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