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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2020-09-01
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Online Access: | https://www.mdpi.com/1424-8220/20/17/4950 |
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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 |
work_keys_str_mv |
AT enricopetritoli simulationofautonomousunderwatervehiclesauvsswarmdiffusion AT marcocagnetti simulationofautonomousunderwatervehiclesauvsswarmdiffusion AT fabioleccese simulationofautonomousunderwatervehiclesauvsswarmdiffusion |
_version_ |
1724544824910020608 |