Modelling Oil-Spill Detection with Swarm Drones

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Title: Modelling Oil-Spill Detection with Swarm Drones
Authors: Aznar Gregori, Fidel | Sempere Tortosa, Mireia Luisa | Pujol, Mar | Rizo, Ramón | Pujol López, María José
Research Group/s: Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Matemática Aplicada
Keywords: Oil-spill detection | Swarm drones
Knowledge Area: Arquitectura y Tecnología de Computadores | Matemática Aplicada
Issue Date: 9-Mar-2014
Publisher: Hindawi Publishing Corporation
Citation: Abstract and Applied Analysis. 2014, Article ID 949407, 14 pages. doi:10.1155/2014/949407
Abstract: Nowadays, swarm robotics research is having a great increase due to the benefits derived from its use, such as robustness, parallelism, and flexibility. Unlike distributed robotic systems, swarm robotics emphasizes a large number of robots, and promotes scalability. Among the multiple applications of such systems we could find are exploring unstructured environments, resource monitoring, or distributed sensing. Two of these applications, monitoring, and perimeter/area detection of a given resource, have several ecological uses. One of them is the detection and monitoring of pollutants to delimit their perimeter and area accurately. Maritime activity has been increasing gradually in recent years. Many ships carry products such as oil that can adversely affect the environment. Such products can produce high levels of pollution in case of being spilled into sea. In this paper we will present a distributed system which monitors, covers, and surrounds a resource by using a swarm of homogeneous low cost drones. These drones only use their local sensory information and do not require any direct communication between them. Taking into account the properties of this kind of oil spills we will present a microscopic model for a swarm of drones, capable of monitoring these spills properly. Furthermore, we will analyse the proper macroscopic operation of the swarm. The analytical and experimental results presented here show the proper evolution of our system.
Sponsor: This work has been supported by the Spanish Ministerio de Ciencia e Innovación, Project TIN2009-10581.
URI: http://hdl.handle.net/10045/37597
ISSN: 1085-3375 (Print) | 1687-0409 (Online)
DOI: 10.1155/2014/949407
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2014 F. Aznar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Peer Review: si
Publisher version: http://dx.doi.org/10.1155/2014/949407
Appears in Collections:INV - i3a - Artículos de Revistas

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