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Hybrid Route Optimisation for Maximum Air to Ground Channel Quality

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Hybrid Route Optimisation for Maximum Air to Ground Channel Quality

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dc.contributor.author Expósito-García, Adrián es_ES
dc.contributor.author Esteban González, Héctor es_ES
dc.contributor.author Schupke, Dominic es_ES
dc.date.accessioned 2023-10-30T19:02:57Z
dc.date.available 2023-10-30T19:02:57Z
dc.date.issued 2022-06 es_ES
dc.identifier.issn 0921-0296 es_ES
dc.identifier.uri http://hdl.handle.net/10251/199005
dc.description.abstract [EN] The urban air mobility market is expected to grow constantly due to the increased interest in new forms of transportation. Managing aerial vehicles fleets, dependent on rising technologies such as artificial intelligence and automated ground control stations, will require a solid and uninterrupted connection to complete their trajectories. A path planner based on evolutionary algorithms to find the most suitable route has been previously proposed by the authors. Herein, we propose using particle swarm and hybrid optimisation algorithms instead of evolutionary algorithms in this work. The goal of speeding the route planning process and reducing computational costs is achieved using particle swarm and direct search algorithms. This improved path planner efficiently explores the search space and proposes a trajectory according to its predetermined goals: maximum air-to-ground quality, availability, and flight time. The proposal is tested in different situations, including diverse terrain conditions for various channel behaviours and no-fly zones. es_ES
dc.description.sponsorship This study was funded by Airbus Defence and Space gmbh. Universitat Politecnica de Valencia will cover publication costs. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Journal of Intelligent & Robotic Systems es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Aerial robotics es_ES
dc.subject Nature-inspired optimisation es_ES
dc.subject Hybrid optimisation es_ES
dc.subject Path planning es_ES
dc.subject Channel model es_ES
dc.subject Wireless communications es_ES
dc.subject.classification TEORÍA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Hybrid Route Optimisation for Maximum Air to Ground Channel Quality es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10846-022-01590-8 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Expósito-García, A.; Esteban González, H.; Schupke, D. (2022). Hybrid Route Optimisation for Maximum Air to Ground Channel Quality. Journal of Intelligent & Robotic Systems. 105(2):1-16. https://doi.org/10.1007/s10846-022-01590-8 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10846-022-01590-8 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 105 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\465531 es_ES
dc.contributor.funder Airbus Defense and Space es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES


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