NEUTRINAI Project

• Scope of this project: This project aims to design energy-efficient communication technology and protocol for the 6th generation (6G) Internet of Things (IoT) communication system. Energy-efficiency is one-of the key performance indicator for 6G IoT networks, in which it is imperative to design a communication protocl considering the cost of ML model as well as main radio interface. 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. 

• Keywords: Internet of Things, Goal-oriented communication, energy-efficient protocol, IoT data collection, Machine learning, generative AI, Wake-up radio

• Project period: Sep. 2024- Aug. 2026

• Institution: Aalborg University, Denmark

News

• March 13, 2025,  We presented our latest work at International ITG Conference on Systems, Communications and Coding (SCC) in the poster session, with the title of "TinyML Model Distribution for Energy-Efficient IoT Data Retrieval with MQTT Protocol" 

• Feb. 26, 2025, I gave a short talk at 6G-XCEL/ Commonwealth Cyber Initiative (CCI) Joint Workshop at Virginia Tech.. The title of the presentation is "Energy-Efficient Relevance Data Retrieval in IoT Networks", in which we present our latest work published through this project.

• December 11, 2024, I presented our latest work, "Coexistence of Push Wireless Access with Pull Communication for Content-based Wake-up Radios "  at IEEE Global Communications Conference, Cape Town, South Africa.

• December 11, 2024, We presented our latest work "EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models,"  at IEEE Global Communications Conference, Cape Town, South Africa.

• December 3, 2024, I gave a short talk at the Annual Workshop of  Future of Communications III, Annual Workshop of the Villum Investigator Grant "WATER", regarding the topic of "Timing and data relevance for Energy-frugal IoT networking". In this presentation, I briefly introduced the NEUTRINAI project and the latest results obtained from this project. 

• Sep. 30-Oct. 1 2024 I gave a short talk at 6G-XCEL/ACCoRD Plenary meeting & workshop in WINLAB, Rutgers University, regarding the topic of "Timing and Data Relevance in Pull-push Communication". In this presentation, we partially present our latest work "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices".  

• Sep. 2024 Our paper titled "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices" has been published in IEEE Communications Letters.

• Sep. 10-13, 2024 I attended the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), taken place in Lucca, Italy.

Publications

[Journal peer reviewed]

1. Junya Shiraishi, Mathias Thorsager, Shashi Raj Pandey, Petar Popovski, "TinyAirNet: TinyML Model Transmission for Energy-efficient Image Retrieval from IoT Devices," in IEEE Communications Letters,  vol. 28, no. 9, pp. 2101-2105, Sept. 2024, doi: 10.1109/LCOMM.2024.3436816.  [arxiv link]

[Conference, peer reviewed]

1.  M. Thorsager, V. Croisfelt, J. Shiraishi, P. Popovski, ``EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models," 2024 IEEE Global Communications Conference (GLOBECOM), Cape town, South Africa, 2024.  [arxiv link ]

2. J. Shiraishi, S. Cavallero, S. R. Pandey, F. Saggese, and P. Popovski, “Coexistence of push wireless access with pull communication for content-based wake-up radios,” 2024 IEEE Global Communications Conference (GLOBECOM), Cape town, South Africa, 2024. [arxiv link ]

Acknowledgement:

This work has received funding from European Union's Horizon Europe research and innovation funding programme under Marie Skłodowska-Curie Action (MSCA) Postdoc Fellowship, with Grant No. 101151067.