Hybrid mobility model with pheromones for UAV detection task

Reference : Hybrid mobility model with pheromones for UAV detection task


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/30387

Title :	Hybrid mobility model with pheromones for UAV detection task
Language :	English
Author, co-author :	Kieffer, Emmanuel [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)]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Nagih, Anass [> >]
Publication date :	2016
Main document title :	Hybrid mobility model with pheromones for UAV detection task
Peer reviewed :	Yes
Event name :	2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Event date :	from 06-12-2016 to 09-12-2016
Keywords :	[en] Atmospheric modeling;Biological system modeling;Heuristic algorithms;Markov processes;Mathematical model;Path planning;Unmanned aerial vehicles
Permalink :	http://hdl.handle.net/10993/30387
DOI :	10.1109/SSCI.2016.7850104
Commentary :	1-8

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