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Open AccessArticle

Modeling and Analysis of Self-Organizing UAV-Assisted Mobile Networks with Dynamic On-Demand Deployment

1
Center for Interdisciplinary Biosciences, Technology and Innovation Park, University of Pavol Jozef Šafárik, Jesenná 5, 041 01 Košice, Slovakia
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Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
3
Lviv Polytechnic National University, 12 S. Bandery St., 790 13 Lviv, Ukraine
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(11), 1077; https://doi.org/10.3390/e21111077
Received: 30 September 2019 / Revised: 26 October 2019 / Accepted: 31 October 2019 / Published: 3 November 2019
(This article belongs to the Section Multidisciplinary Applications)
Attempts to develop flexible on-demand drone-assisted mobile network deployment are increasingly driven by cost-effective and energy-efficient innovations. The current stage opens up a wide range of theoretical discussions on the management of swarm processes, networks and other integrated projects. However, dealing with these complex issues remains a challenging task, although heuristic approaches are usually utilized. This article introduces a model of autonomous and adaptive drones that provide the function of aerial mobile base stations. Its particular goal is to analyze post-disaster recovery if the network failure takes place. We assume that a well-structured swarm of drones can re-establish the connection by spanning the residual functional, fixed infrastructure, and providing coverage of the target area. Our technique uses stochastic Langevin dynamics with virtual and adaptive forces that bind drones during deployment. The system characteristics of the swarms are a priority of our focus. The assessment of parametric sensitivity with the insistence on the manifestation of adaptability points to the possibility of improving the characteristics of the swarms in different dynamic situations. View Full-Text
Keywords: UAV swarm; stochastic dynamics; disaster; wireless connections; coverage; adaptivity UAV swarm; stochastic dynamics; disaster; wireless connections; coverage; adaptivity
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Horvath, D.; Gazda, J.; Slapak, E.; Maksymyuk, T. Modeling and Analysis of Self-Organizing UAV-Assisted Mobile Networks with Dynamic On-Demand Deployment. Entropy 2019, 21, 1077.

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