The paper shows the simulation of the behavior of a swarm of underwater drones (AUV) diffused in a closed section of the sea and inserted from a single starting point: Based on a few essential rules, we will see how their behavior evolves and how they manage to spread throughout the area assigned to them. In the first part of this work, after defining the design of the vehicle, we introduce our vision of the swarm, its problems, and its strengths. Later, we show how to spread a series of underwater drones with “diffused intelligence” (swarm) and its microscopic diffusion model. In the last part, we present the simulation that supports our approach to the swarm.

Petritoli, E., Cagnetti, M., Leccese, F. (2020). Simulation of autonomous underwater vehicles (AUVs) swarm diffusion. SENSORS, 20(17), 1-16 [10.3390/s20174950].

Simulation of autonomous underwater vehicles (AUVs) swarm diffusion

Petritoli E.
Writing – Original Draft Preparation
;
Cagnetti M.
Validation
;
Leccese F.
Writing – Review & Editing
2020-01-01

Abstract

The paper shows the simulation of the behavior of a swarm of underwater drones (AUV) diffused in a closed section of the sea and inserted from a single starting point: Based on a few essential rules, we will see how their behavior evolves and how they manage to spread throughout the area assigned to them. In the first part of this work, after defining the design of the vehicle, we introduce our vision of the swarm, its problems, and its strengths. Later, we show how to spread a series of underwater drones with “diffused intelligence” (swarm) and its microscopic diffusion model. In the last part, we present the simulation that supports our approach to the swarm.
2020
Petritoli, E., Cagnetti, M., Leccese, F. (2020). Simulation of autonomous underwater vehicles (AUVs) swarm diffusion. SENSORS, 20(17), 1-16 [10.3390/s20174950].
File in questo prodotto:
File Dimensione Formato  
sensors-20-04950.pdf

accesso aperto

Descrizione: Articolo Principale
Tipologia: Documento in Pre-print
Licenza: Creative commons
Dimensione 3.62 MB
Formato Adobe PDF
3.62 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/370653
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 21
social impact