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Open AccessArticle

Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques

1
SnT, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
2
FSTM/DCS, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(9), 2566; https://doi.org/10.3390/s20092566
Received: 3 April 2020 / Revised: 25 April 2020 / Accepted: 27 April 2020 / Published: 30 April 2020
(This article belongs to the Special Issue Unmanned Aerial Vehicle Control, Networks, System and Application)
In this article, we propose a new mobility model, called Attractor Based Inter-Swarm collaborationS (ABISS), for improving the surveillance of restricted areas performed by unmanned autonomous vehicles. This approach uses different types of vehicles which explore an area of interest following unpredictable trajectories based on chaotic solutions of dynamic systems. Collaborations between vehicles are meant to cover some regions of the area which are unreachable by members of one swarm, e.g., unmanned ground vehicles on water surface, by using members of another swarm, e.g., unmanned aerial vehicles. Experimental results demonstrate that collaboration is not only possible but also emerges as part of the configurations calculated by a specially designed and parameterised evolutionary algorithm. Experiments were conducted on 12 different case studies including 30 scenarios each, observing an improvement in the total covered area up to 11%, when comparing ABISS with a non-collaborative approach. View Full-Text
Keywords: swarm robotics; mobility model; inter-swarm collaboration; unmanned aerial vehicle; unmanned ground vehicle; evolutionary algorithm; pheromones; bio-inspiration swarm robotics; mobility model; inter-swarm collaboration; unmanned aerial vehicle; unmanned ground vehicle; evolutionary algorithm; pheromones; bio-inspiration
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MDPI and ACS Style

Stolfi, D.H.; Brust, M.R.; Danoy, G.; Bouvry, P. Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors 2020, 20, 2566. https://doi.org/10.3390/s20092566

AMA Style

Stolfi DH, Brust MR, Danoy G, Bouvry P. Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors. 2020; 20(9):2566. https://doi.org/10.3390/s20092566

Chicago/Turabian Style

Stolfi, Daniel H.; Brust, Matthias R.; Danoy, Grégoire; Bouvry, Pascal. 2020. "Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques" Sensors 20, no. 9: 2566. https://doi.org/10.3390/s20092566

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