Modelling multi-rotor UAVs swarm deployment using virtual pheromones

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/73150
Información del item - Informació de l'item - Item information
Title: Modelling multi-rotor UAVs swarm deployment using virtual pheromones
Authors: Aznar Gregori, Fidel | Pujol, Mar | Rizo, Ramón | Rizo Maestre, Carlos
Research Group/s: Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Construcciones Arquitectónicas
Keywords: Unmanned Aerial Vehicles (UAVs) | Swarm | Multi-rotor | Virtual pheromones
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial | Construcciones Arquitectónicas
Issue Date: 25-Jan-2018
Publisher: Public Library of Science (PLoS)
Citation: Aznar F, Pujol M, Rizo R, Rizo C (2018) Modelling multi-rotor UAVs swarm deployment using virtual pheromones. PLoS ONE 13(1): e0190692. https://doi.org/10.1371/journal.pone.0190692
Abstract: In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be presented. The main contribution of this behaviour is the use of a virtual device for quantitative sematectonic stigmergy providing more adaptable behaviours in complex environments. It is a fault tolerant highly robust behaviour that does not require prior information of the area to be covered, or to assume the existence of any kind of information signals (GPS, mobile communication networks …), taking into account the specific features of UAVs. This behaviour will be oriented towards emergency tasks. Their main goal will be to cover an area of the environment for later creating an ad-hoc communication network, that can be used to establish communications inside this zone. Although there are several papers on robotic deployment it is more difficult to find applications with UAV systems, mainly because of the existence of various problems that must be overcome including limitations in available sensory and on-board processing capabilities and low flight endurance. In addition, those behaviours designed for UAVs often have significant limitations on their ability to be used in real tasks, because they assume specific features, not easily applicable in a general way. Firstly, in this article the characteristics of the simulation environment will be presented. Secondly, a microscopic model for deployment and creation of ad-hoc networks, that implicitly includes stigmergy features, will be shown. Then, the overall swarm behaviour will be modeled, providing a macroscopic model of this behaviour. This model can accurately predict the number of agents needed to cover an area as well as the time required for the deployment process. An experimental analysis through simulation will be carried out in order to verify our models. In this analysis the influence of both the complexity of the environment and the stigmergy system will be discussed, given the data obtained in the simulation. In addition, the macroscopic and microscopic models will be compared verifying the number of predicted individuals for each state regarding the simulation.
Sponsor: This work was supported by Ministerio de Economía y Competitividad (Spain) http://www.mineco.gob.es/portal/site/mineco/, project TIN2013-40982-R. Project co-financed with FEDER funds.
URI: http://hdl.handle.net/10045/73150
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0190692
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 Aznar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Peer Review: si
Publisher version: http://dx.doi.org/10.1371/journal.pone.0190692
Appears in Collections:INV - i3a - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2018_Aznar_etal_PLoS-ONE.pdf2,18 MBAdobe PDFOpen Preview


This item is licensed under a Creative Commons License Creative Commons