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Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications

In areas with limited infrastructure, Unmanned Aerial Vehicles (UAVs) can come in handy as relays for car-to-car communications. Since UAVs are able to fully explore a three-dimensional environment while flying, communications that involve them can be affected by the irregularity of the terrains, th...

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Autores principales: Hadiwardoyo, Seilendria A., Calafate, Carlos T., Cano, Juan-Carlos, Krinkin, Kirill, Klionskiy, Dmitry, Hernández-Orallo, Enrique, Manzoni, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014200/
https://www.ncbi.nlm.nih.gov/pubmed/31936401
http://dx.doi.org/10.3390/s20020356
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author Hadiwardoyo, Seilendria A.
Calafate, Carlos T.
Cano, Juan-Carlos
Krinkin, Kirill
Klionskiy, Dmitry
Hernández-Orallo, Enrique
Manzoni, Pietro
author_facet Hadiwardoyo, Seilendria A.
Calafate, Carlos T.
Cano, Juan-Carlos
Krinkin, Kirill
Klionskiy, Dmitry
Hernández-Orallo, Enrique
Manzoni, Pietro
author_sort Hadiwardoyo, Seilendria A.
collection PubMed
description In areas with limited infrastructure, Unmanned Aerial Vehicles (UAVs) can come in handy as relays for car-to-car communications. Since UAVs are able to fully explore a three-dimensional environment while flying, communications that involve them can be affected by the irregularity of the terrains, that in turn can cause path loss by acting as obstacles. Accounting for this phenomenon, we propose a UAV positioning technique that relies on optimization algorithms to improve the support for vehicular communications. Simulation results show that the best position of the UAV can be timely determined considering the dynamic movement of the cars. Our technique takes into account the current flight altitude, the position of the cars on the ground, and the existing flight restrictions.
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spelling pubmed-70142002020-03-09 Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications Hadiwardoyo, Seilendria A. Calafate, Carlos T. Cano, Juan-Carlos Krinkin, Kirill Klionskiy, Dmitry Hernández-Orallo, Enrique Manzoni, Pietro Sensors (Basel) Article In areas with limited infrastructure, Unmanned Aerial Vehicles (UAVs) can come in handy as relays for car-to-car communications. Since UAVs are able to fully explore a three-dimensional environment while flying, communications that involve them can be affected by the irregularity of the terrains, that in turn can cause path loss by acting as obstacles. Accounting for this phenomenon, we propose a UAV positioning technique that relies on optimization algorithms to improve the support for vehicular communications. Simulation results show that the best position of the UAV can be timely determined considering the dynamic movement of the cars. Our technique takes into account the current flight altitude, the position of the cars on the ground, and the existing flight restrictions. MDPI 2020-01-08 /pmc/articles/PMC7014200/ /pubmed/31936401 http://dx.doi.org/10.3390/s20020356 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hadiwardoyo, Seilendria A.
Calafate, Carlos T.
Cano, Juan-Carlos
Krinkin, Kirill
Klionskiy, Dmitry
Hernández-Orallo, Enrique
Manzoni, Pietro
Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title_full Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title_fullStr Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title_full_unstemmed Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title_short Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
title_sort three dimensional uav positioning for dynamic uav-to-car communications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014200/
https://www.ncbi.nlm.nih.gov/pubmed/31936401
http://dx.doi.org/10.3390/s20020356
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