UAV Deployment Using Two Levels of Stigmergy for Unstructured Environments

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Título: UAV Deployment Using Two Levels of Stigmergy for Unstructured Environments
Autor/es: Aznar Gregori, Fidel | Pujol, Mar | Rizo, Ramón
Grupo/s de investigación o GITE: Informática Industrial e Inteligencia Artificial
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Palabras clave: Swarm robotics | UAV deployment | Stigmergy behavior
Área/s de conocimiento: Ciencia de la Computación e Inteligencia Artificial
Fecha de publicación: 30-oct-2020
Editor: MDPI
Cita bibliográfica: Aznar F, Pujol López MM, Rizo R. UAV Deployment Using Two Levels of Stigmergy for Unstructured Environments. Applied Sciences. 2020; 10(21):7696. https://doi.org/10.3390/app10217696
Resumen: This article will present two swarming behaviors for deployment in unstructured environments using unmanned aerial vehicles (UAVs). These behaviors will use stigmergy for communication. We found that there are currently few realistic deployment approaches that use stigmergy, due mainly to the difficulty of building transmitters and receivers for this type of communication. In this paper, we will provide the microscopic design of two behaviors with different technological and information requirements. We will compare them and also investigate how the number of agents influences the deployment. In this work, these behaviors will be exhaustively analyzed, taking into account different take-off time interval strategies, the number of collisions, and the time and energy required by the swarm. Numerous simulations will be conducted using unstructured maps generated at random, which will enable the establishment of the general functioning of the behaviors independently of the map used. Finally, we will show how both behaviors are capable of achieving the required deployment task in terms of covering time and energy consumed by the swarm. We will discuss how, depending on the type of map used, this task can be performed at a lower cost without using a more informed (but expensive) robotic swarm.
Patrocinador/es: This work has been supported by the Ministerio de Ciencia, Innovación y Universidades (Spain), project RTI2018-096219-B-I00. Project co-financed with FEDER funds.
URI: http://hdl.handle.net/10045/110139
ISSN: 2076-3417
DOI: 10.3390/app10217696
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/app10217696
Aparece en las colecciones:INV - i3a - Artículos de Revistas

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