Tesi etd-11122024-120103 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
DELLA BARTOLA, MATTEO
URN
etd-11122024-120103
Titolo
Federated Learning in Drone Networks with Digital Twin Modeling: A Simulation Study on Battery Usage
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Prof. Adami, Davide
relatore Ing. Borgianni, Luca
relatore Ing. Borgianni, Luca
Parole chiave
- digital twin
- Internet of Drones(IoD)
- network
- network simulator 3(ns-3)
- simulator
Data inizio appello
29/11/2024
Consultabilità
Non consultabile
Data di rilascio
29/11/2027
Riassunto
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.
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.
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