Three Dimensional UAV Positioning for Dynamic UAV-to-Car Communications
Seilendria A. Hadiwardoyo,
Carlos T. Calafate,
Juan-Carlos Cano,
Kirill Krinkin,
Dmitry Klionskiy,
Enrique Hernández-Orallo,
Pietro Manzoni
Affiliations
Seilendria A. Hadiwardoyo
Department of Electronics ICT—IDLab, Universiteit Antwerpen—imec, 2000 Antwerp, Belgium
Carlos T. Calafate
Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Juan-Carlos Cano
Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Kirill Krinkin
Department of Software Engineering & Computer Applications (MOEVM), St. Petersburg Electrotechnical University “LETI”, 197022 St. Petersburg, Russia
Dmitry Klionskiy
Department of Software Engineering & Computer Applications (MOEVM), St. Petersburg Electrotechnical University “LETI”, 197022 St. Petersburg, Russia
Enrique Hernández-Orallo
Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Pietro Manzoni
Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
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.