TERMINET

Description

The vision of TERMINET is to provide a novel next generation reference architecture based on cutting-edge technologies such as SDN, multiple-access edge computing, and virtualisation for next generation IoT, while introducing new, intelligent IoT devices for low-latency, market-oriented use cases. i2CAT will focus on the development, integration, and deployment of a RINA based IoT solution to support the requirements of intelligent IoT devices and to provide low latency.

TERMINET’s primary intention is to bring (more efficient and accurate) decisions to the point of interest to better serve the final user targeting applying distributed AI at the edge by using accelerated hardware and sophisticated software to support local AI model training using federated learning. TERMINET solution aspires to reduce the complexity of connecting a vast number of heterogeneous devices through a flexible SDN-enabled middleware layer. i2CAT will integrate the RINA-based IoT solution with an SDN-enabled middleware layer to facilitate the adoption of RINA advances into IoT applications. It also aims to design, develop, and integrate novel, intelligent IoT devices, such as smart glasses, haptic devices, energy harvesting modules, smart animal monitoring collars, AR/VR environments, and autonomous drones, to support new market-oriented use cases.

Estimated impact

Great expectation of the proposal is to foster AR/VR contextual computing by demonstrating applicable results in realistic use cases by using cutting-edge IoT-enabled AR/VR applications. By designing and implementing an IoT-driven decentralised and distributed blockchain framework within manufacturing, TERMINET aims to support maintenance and supply chain optimisation. TERMINET intends to apply vertical security by design methodology by meeting the privacy-preserving and trust requirements of the NG-IoT architecture. TERMINET will validate and demonstrate six proof-of-concept, realistic use cases in compelling IoT domains such as energy, smart buildings, smart farming, healthcare, and manufacturing to evaluate its wide applicability.