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Tesi etd-05222023-125534


Tipo di tesi
Tesi di laurea magistrale
Autore
MONTAGNO BOZZONE, DAVIDE
URN
etd-05222023-125534
Titolo
A VNF-Chaining Approach for Enhancing Ground Network with UAVs in a Crowd-Based Environment
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Chessa, Stefano
correlatore Prof.ssa Paganelli, Federica
supervisore Girolami, Michele
Parole chiave
  • Mobility
  • energy managment
  • UAV
  • VNF placement
Data inizio appello
21/07/2023
Consultabilità
Completa
Riassunto
In the context of a smart city operating a 5G and beyond network, we propose a mixed-integer linear programming model to optimize the placement of VNFs on a hybrid UAV-terrestrial infrastructure. This infrastructure is supported by UAVs that act as carriers for the VNFs. The aim is to maximize the lifetime of the UAVs while taking into account the resource constraints and network traffic generated by crowds gathering at specific locations in the city. To evaluate the effectiveness of our solution, we conduct experiments based on different practical scenarios. The results show that our proposed solution significantly improves the system's ability to handle incoming traffic in different scenarios.
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