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NEUTRINAI

Financiado

NEUTRINAI: eNErgy-frUgal internet of Things Networking with generative AI module...

NEUTRINAI: eNErgy-frUgal internet of Things Networking with generative AI modules This project aims to design energy-efficient communication technology and protocol for the 6th generation (6G) Internet of Things (IoT) communication system, in which energy efficiency is one of the essential Key Performance Indic... ver más

31/08/2026

AAU

215K€

Presupuesto del proyecto: 215K€

Líder del proyecto

AALBORG UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-03

HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023 ExpectedOutcome:Project results are expected to contribute to the following outcomes:

I+D

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1 Participantes

AAU

214.93K€ | Lider

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Duración del proyecto: 27 meses Fecha Inicio: 2024-05-03
Fecha Fin: 2026-08-31

Líder del proyecto

AALBORG UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 215K€

Descripción del proyecto This project aims to design energy-efficient communication technology and protocol for the 6th generation (6G) Internet of Things (IoT) communication system, in which energy efficiency is one of the essential Key Performance Indicators (KPIs) to realize sustainable IoT networking. The energy-efficient protocol designs for IoT devices serving 6G applications are more challenging than conventional wireless sensor networks, as we need to consider the energy cost caused by the introduction of the Artificial Intelligence (AI)/ Machine learning (ML) model as well as that of the primary radio circuit. However, most related works do not consider the energy cost of introducing the ML model, which affects the overall energy efficiency of the communication protocols. In order to realize the reduction of the overall energy consumption of AI-empowered IoT devices, this project newly introduces generative AI modules and wake-up radio technology into IoT devices operating with batteries, by which IoT devices can suppress unnecessary data transmission, and communication is taken place in an energy-efficient manner by cooperatively transmitting signaling, informative data, and ML model from devices to devices. This project will design a new communication framework integrating generative AI modules, investigate the system-level performance of G-AI-based communication systems, and clarify the gain brought by the introduction of G-AI modules in terms of energy efficiency and accuracy.

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