A swarm behaviour for jellyfish bloom detection

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Title: A swarm behaviour for jellyfish bloom detection
Authors: Aznar Gregori, Fidel | Pujol, Mar | Rizo, Ramón
Research Group/s: Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Swarm behaviour | Jellyfish detection | Unmanned aerial vehicles
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: 1-Apr-2017
Publisher: Elsevier
Citation: Ocean Engineering. 2017, 134: 24-34. doi:10.1016/j.oceaneng.2017.02.009
Abstract: In this paper we will deal with the issue of swarm behaviour for jellyfish detection using UAVs (unmanned aerial vehicles). Swarm behaviour is inspired by the functioning of biological swarms. They are characterized by being fully distributed, scalable and fault-tolerant. Initially, we will study the behaviour of jellyfish and their impact and interaction with industry. Motivated by the need to improve current detection systems, we will propose a swarm behaviour that will be formalized with a microscopic model. We will discuss both the convergence and the scalability of the model. Finally, a macroscopic model will be provided to predict the probability that an individual is placed in a position at a given moment.
Sponsor: This work has been carried out by the project “Intelligent Swarm Systems of Unmanned Aerial Vehicles for Security and Surveillance” TIN2013-40982-R, Ministerio de Economía y Competitividad, Spain. Project co-financed with FEDER funds.
URI: http://hdl.handle.net/10045/66447
ISSN: 0029-8018 (Print) | 1873-5258 (Online)
DOI: 10.1016/j.oceaneng.2017.02.009
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2017 Elsevier Ltd.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.oceaneng.2017.02.009
Appears in Collections:INV - i3a - Artículos de Revistas

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