SOURCE-LINKED INTELLIGENCE

ENergy-Aware Sensing and DUty Cycling PRotocols for BattEryless Internet of Things using On-device and federaTed learning

CORDIS · observation · Publication date unknown

and are bound to specific design parameters, which limit their performance and applicability in real-world scenarios. To address this, ENSURE-IoT aims to integrate EH technology with IoT and advanced Artificial Intelligence (AI) technologies to create novel, realistic, and intelligent energy-aware sensing and communication protocols based on theoretical models, simulation, and experimental validation for BL-IoT devices. Furthermore, the project will develop and deploy efficient and resource-friendly on-device learning and federated learning models to optimize decisions on both parts: the BL-IoT device to optimize decision accuracy locally, as well as on the access point under different circumstances. These AI models will facilitate BL-IoT devices to make energy-aware decisions in dynamic EH conditions. The performance of the developed solutions will be validated using theoretical modelling, simulation and hardware, and will be compared with benchmark protocols in dynamic EH conditions. The project results are expected to encourage wider adoption of BL-IoT solutions and to contribute

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recordType

award

status

SIGNED

region

EU

value

242116.8

unit

EUR