SuSy-EnGaD: Surveillance System Enhanced by Games of Drones

  1. Stolfi, Daniel H.
  2. Brust, Matthias R.
  3. Danoy, Grégoire
  4. Bouvry, Pascal
  5. González Aguilera, Diego 1
  6. Pablo Rodríguez-Gonzálvez
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
Drones

ISSN: 2504-446X

Año de publicación: 2022

Volumen: 6

Número: 1

Páginas: 13

Tipo: Artículo

DOI: 10.3390/DRONES6010013 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Drones

Resumen

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.

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