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dc.contributor.authorMartín Izquierdo, Adrián
dc.contributor.authorDe la Bandera Cascales, Isabel
dc.contributor.authorBarco-Moreno, Raquel 
dc.date.accessioned2023-09-19T10:30:58Z
dc.date.available2023-09-19T10:30:58Z
dc.date.created2023
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/10630/27576
dc.description.abstractIn this article, a novel approach is presented for dynamic route planning of unmanned aerial vehicles (UAVs) for efficient data collection in industrial environments using UAVs connected to 5G and ultra-low power device networks. The proposed approach is based on bio-inspired algorithms, which draw inspiration from the behavior of animals and plants. The algorithm uses a combination of genetic algorithm (GA) and rapid exploration random tree (RRT) to optimize the UAV’s route and reduce energy consumption, while complying with the UAV’s flight limitations, considering the energy consumed by the UAV. This solution focuses on achieving higher energy efficiency and better data collection capability in industrial environments. The combination of GA and RRT is capable of finding optimal routes for data collection, reducing the UAV’s energy consumption while ensuring that all flight constraints are met.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isospaes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectAviones sin pilotoes_ES
dc.subjectOptimización de las trayectoriases_ES
dc.subjectTelecomunicacioneses_ES
dc.subject.otherUAVes_ES
dc.subject.otherGAes_ES
dc.subject.otherTSPes_ES
dc.subject.otherIoTes_ES
dc.subject.otherOptimizationes_ES
dc.titleRuta óptima para vehículos aéreos no tripulados para la recolección de datos en entornos IoT.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitleURSIes_ES
dc.relation.eventplaceCácereses_ES
dc.relation.eventdate13 Septiembre 2023es_ES


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