Federated Learning in Drone Networks with Digital Twin Modeling: A Simulation Study on Battery Usage

Development of a Digital Twin model in C++ in the field of Internet of Drones. This work aims to simulate and evaluate the energy consumption of a Federated Learning task in energy constrained devices such as UAVs. The implementation of the code is done with the aid of the NS-3 C++ library. Reasoning on the datas gathered are made by simulating real-life use cases where a swarm of drones need to complete a Federated Learning task.

Publication Details

Journal
Electronic Theses and Dissertations Repository (University of Pisa)
Published
2024-11-24
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

Federated Learning in Drone Networks with Digital Twin Modeling: A Simulation Study on Battery Usage

Electronic Theses and Dissertations Repository (University of Pisa)
UAV Applications and Optimization
article

Federated Learning in Drone Networks with Digital Twin Modeling: A Simulation Study on Battery Usage

article en

Abstract

Development of a Digital Twin model in C++ in the field of Internet of Drones. This work aims to simulate and evaluate the energy consumption of a Federated Learning task in energy constrained devices such as UAVs. The implementation of the code is done with the aid of the NS-3 C++ library. Reasoning on the datas gathered are made by simulating real-life use cases where a swarm of drones need to complete a Federated Learning task.

Electronic Theses and Dissertations Repository (University of Pisa)
Affordable and clean energy
Openalex Percentile: Top 23%
UAV Applications and Optimization
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Federated Learning in Drone Networks with Digital Twin Modeling: A Simulation Study on Battery Usage · Electronic Theses and Dissertations Repository (University of Pisa) (2024) | TGRS Research Map | TGRS