Paper Info
Title
optimizing UAV-to-Car Communications in 3D Environments Through Dynamic UAV Positioning
Abstract
Unmanned Aerial Vehicles (UAVs) can act as re-lays in areas with limited infrastructure to support car-to-car communications. Prior studies on UAV-to-car communications showed that the irregularity of the terrains has a significant impact on link quality. Thus, in this paper, we propose a positioning technique that relies on Particle Swarm optimization (PSO) to optimize the positioning of a UAV in the vehicular environment by considering the irregularities of the terrains that might hinder Line-of-Sight (LOS) conditions. The proposed technique takes into account the path loss caused by the terrains. Simulation results show that the optimization algorithm allows us to determine the best position for the deployed UAVs throughout time by considering the movement of the cars, and also accounting for adjustments in terms of flight altitude. In particular, the latter is adjusted by considering the position of the cars on the ground and the profile of surrounding terrains to determine potential communications blockages, while respecting international regulations regarding flight altitude restrictions.
Year
DOI
Venue
2019
10.1109/DS-RT47707.2019.8958694
2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
Keywords
Field
DocType
PSO,ITS,UAV,Simulation,dynamic positioning
Particle swarm optimization,Dynamic positioning,Flight altitude,Computer science,Terrain,Real-time computing,Path loss,Optimization algorithm
Conference
ISSN
ISBN
Citations 
1550-6525
978-1-7281-2924-2
0
PageRank 
References 
Authors
0.34
16
7
Name
Order
Citations
PageRank
Seilendria A. Hadiwardoyo1155.06
Carlos T. Calafate2943109.26
Juan-Carlos Cano31297147.62
Kirill Krinkin400.34
Dmitry M. Klionskiy500.34
Enrique Hernández-Orallo600.34
Pietro Manzoni71364159.33