Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion

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...

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Bibliographic Details
Main Authors: Enrico Petritoli, Marco Cagnetti, Fabio Leccese
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
AUV
Online Access:https://www.mdpi.com/1424-8220/20/17/4950
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spelling doaj-e55f506c1ad04b5d8cb7ff287b4e7fef2020-11-25T03:37:37ZengMDPI AGSensors1424-82202020-09-01204950495010.3390/s20174950Simulation of Autonomous Underwater Vehicles (AUVs) Swarm DiffusionEnrico Petritoli0Marco Cagnetti1Fabio Leccese2Science Department, Università degli Studi “Roma Tre”, Via della Vasca Navale n. 84, 00146 Rome, ItalyScience Department, Università degli Studi “Roma Tre”, Via della Vasca Navale n. 84, 00146 Rome, ItalyScience Department, Università degli Studi “Roma Tre”, Via della Vasca Navale n. 84, 00146 Rome, ItalyThe 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.https://www.mdpi.com/1424-8220/20/17/4950autonomous underwater vehiclesAUVswarmdiffusion
collection DOAJ
language English
format Article
sources DOAJ
author Enrico Petritoli
Marco Cagnetti
Fabio Leccese
spellingShingle Enrico Petritoli
Marco Cagnetti
Fabio Leccese
Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
Sensors
autonomous underwater vehicles
AUV
swarm
diffusion
author_facet Enrico Petritoli
Marco Cagnetti
Fabio Leccese
author_sort Enrico Petritoli
title Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
title_short Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
title_full Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
title_fullStr Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
title_full_unstemmed Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
title_sort simulation of autonomous underwater vehicles (auvs) swarm diffusion
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-09-01
description 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.
topic autonomous underwater vehicles
AUV
swarm
diffusion
url https://www.mdpi.com/1424-8220/20/17/4950
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AT marcocagnetti simulationofautonomousunderwatervehiclesauvsswarmdiffusion
AT fabioleccese simulationofautonomousunderwatervehiclesauvsswarmdiffusion
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