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

Project Information

NEUTRINAI

Grant agreement ID: 101151067

DOI 10.3030/101151067

EC signature date 3 May 2024

Start date 1 September 2024

End date 31 August 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost No data

EU contribution € 214 934,40

Coordinated by

AALBORG UNIVERSITET
Denmark

Objective

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.

Fields of science

• natural sciences › computer and information sciences › internet › internet of things
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › smart sensors
• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › radio technology
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Keywords

• Energy-efficiency
• Generative AI
• Machine Learning
• wake-up radio
• Internet of Things

Programme(s)

• HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme

Topic(s)

• HORIZON-MSCA-2023-PF-01-01 - MSCA Postdoctoral Fellowships 2023

Call for proposal

HORIZON-MSCA-2023-PF-01

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

Coordinator

AALBORG UNIVERSITET

• Net EU contribution: € 214 934,40
• Address: FREDRIK BAJERS VEJ 7K ; 9220 Aalborg ; Denmark
• Region: Danmark › Nordjylland › Nordjylland
• Activity type: Higher or Secondary Education Establishments
• Total cost: No data