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A distributed antenna orientation solution for optimizing communications in a fleet of UAVs

Rémy Grünblatt 1, 2, 3, 4, 5 Isabelle Guérin-Lassous 6, 7, 8 Olivier Simonin 9, 10
4 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
7 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
8 hownet - Holistic Wireless Networks
LIP - Laboratoire de l'Informatique du Parallélisme
10 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : In this article, we describe how a fleet of unmanned aerial vehicles (UAVs) can optimize communication performances by having its members independently change their orientations. This distributed solution, based on a hill-climbing approach, relies on information available locally at each node, namely the reception power of the received frames. The solution is evaluated using the ns-3 network simulator, whose source code is modified to be able to deal with nonisotropic antennas in the context of Wi-Fi networks, as well as simulate angular movements. As isotropic antennas are only theoretical objects, this step is mandatory in order to increase the realism of network simulations. The results, obtained using realistic antenna models, highlight that controlled mobility, in particular controlled orientation needs to be considered in order for UAV networks to provide better performances.
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Contributor : Rémy Grünblatt Connect in order to contact the contributor
Submitted on : Monday, October 25, 2021 - 9:31:19 AM
Last modification on : Thursday, January 20, 2022 - 5:29:22 PM


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Rémy Grünblatt, Isabelle Guérin-Lassous, Olivier Simonin. A distributed antenna orientation solution for optimizing communications in a fleet of UAVs. Computer Communications, Elsevier, 2022, 181, pp.102-115. ⟨10.1016/j.comcom.2021.09.020⟩. ⟨hal-03400498⟩



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