International Conference on Computer and Knowledge Engineering

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Delay Optimization of a Federated Learning-based UAV-aided IoT network

Authors :

Hossein Mohammadi Firouzjaei¹ Javad Zeraatkar Moghaddam² Mehrdad Ardebilipour³

1- Khajeh Nasir Toosi University of Technology 2- University of Birjand 3- Khajeh Nasir Toosi University of Technology

Keywords :

UAV،SWIPT،IoT،FL

Abstract :

This paper explores the integration of power splitting(PS) simultaneous wireless information and power transfer (SWIPT) architecture and federated learning (FL) in Internet of Things (IoT) networks. The use of SWIPT allows power-constrained devices to simultaneously harvest energy and transmit data, addressing the energy limitations faced by IoT devices. The proposed scenario involves an Unmanned Arial Vehicle (UAV) serving as the base station (BS) and edge server, aggregating weight updates from IoT devices and unicasting aggregated updates to each device. The results demonstrate the feasibility of FL in IoT scenarios, ensuring communication efficiency without depleting device batteries.