Reference : Chaos-enhanced mobility models for multilevel swarms of UAVs

	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/34390

Title :	Chaos-enhanced mobility models for multilevel swarms of UAVs
Language :	English
Author, co-author :	Rosalie, Martin [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Chaumette, Serge [Université Bordeaux 1 > LaBRI]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2018
Journal title :	Swarm and Evolutionary Computation
Publisher :	Elsevier
Peer reviewed :	Yes
Audience :	International
ISSN :	2210-6502
Keywords :	[en] ACO ; Swarms of UAVs ; Mobility model ; Chaotic dynamics ; Global optimization ; First return ma
Abstract :	[en] The number of civilian and military applications using Unmanned Aerial Vehicles (UAVs) has increased during the last years and the forecasts for upcoming years are exponential. One of the current major challenges consist in considering UAVs as autonomous swarms to address some limitations of single UAV usage such as autonomy, range of operation and resilience. In this article we propose novel mobility models for multi-level swarms of collaborating UAVs used for the coverage of a given area. These mobility models generate unpredictable trajectories using a chaotic solution of a dynamical system. We detail how the chaotic properties are used to structure the exploration of an unknown area and enhance the exploration part of an Ant Colony Optimization method. Empirical evidence of the improvement of the coverage efficiency obtained by our mobility models is provided via simulation. It clearly outperforms state-of-the-art approaches.
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Name of the research project :	R-AGR-0548 > ASIMUT > 27/01/2015 - 26/01/2017 > BOUVRY Pascal
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/34390
DOI :	10.1016/j.swevo.2018.01.002
Other URL :	https://www.sciencedirect.com/science/article/pii/S2210650217307587

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