Reference : SuSy-EnGaD: Surveillance System Enhanced by Games of Drones
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/50504
SuSy-EnGaD: Surveillance System Enhanced by Games of Drones
English
Stolfi Rosso, Daniel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG >]
Brust, Mathias mailto [University of Luxembourg > > >]
Danoy, Grégoire mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
2022
Drones
MDPI AG
6
13
Featured Papers of Drones
Yes
2504-446X
Switzerland
[en] swarm robotics ; unmanned aerial vehicles ; evolutionary game theory ; evolutionary algorithm ; surveillance system ; multi-objective optimisation
[en] In this article, we propose SuSy-EnGaD, a surveillance system enhanced by games of drones. We propose three different approaches to optimise a swarm of UAVs for improving intruder detection, two of them featuring a multi-objective optimisation approach, while the third approach relates to the evolutionary game theory where three different strategies based on games are proposed. We test our system on four different case studies, analyse the results presented as Pareto fronts in terms of flying time and area coverage, and compare them with the single-objective optimisation results from games. Finally, an analysis of the UAVs trajectories is performed to help understand the results achieved.
ONRG
http://hdl.handle.net/10993/50504
10.3390/drones6010013
https://doi.org/10.3390/drones6010013

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