Experimental characterization of UAV-to-car communications

被引:28
作者
Hadiwardoyo, Seilendria A. [1 ]
Hernandez-Orallo, Enrique [1 ]
Calafate, Carlos T. [1 ]
Carlos Cano, Juan [1 ]
Manzoni, Pietro [1 ]
机构
[1] Univ Politecn Valencia, Dept Comp Engn, DISCA, Camino Vera S-N, E-46022 Valencia, Spain
关键词
VANET; ITS; UAV; GRCBox; Real implementation; INTELLIGENT TRANSPORTATION SYSTEMS; UNMANNED AERIAL VEHICLES; NETWORKS; PROTOCOL; DRONES;
D O I
10.1016/j.comnet.2018.03.002
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned Aerial Vehicles (UAVs), popularly known as drones, can be deployed in conjunction with a network of ground vehicles. In situations where no infrastructure is available, drones can be deployed as mobile infrastructure elements to offer all types of services. Examples of such services include safety in rural areas where, upon an emergency event, drones can be quickly deployed as information relays for distributing critical warning to vehicles. In this work, we analyze the communications performance on the link between cars and drones taking into account the altitude, the antenna orientation, and the relative distance. The presented results show that the communication between a drone and a car can reach up to three kilometers in a rural area, and achieves at least a fifty percent success ratio for the delivery rate at a 2.7 km range. Finally, to allow integrating the communications link behaviour in different network simulators, the experimental results were also modeled with a modified Gaussian function that offers a suitable representation for this kind of communication. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码:105 / 118
页数:14
相关论文
共 48 条
[1]   Molecular geometry inspired positioning for aerial networks [J].
Akbas, Mustafa Ilhan ;
Solmaz, Guerkan ;
Turgut, Damla .
COMPUTER NETWORKS, 2016, 98 :72-88
[2]  
Al-Hourani A, 2014, IEEE GLOB COMM CONF, P2898, DOI 10.1109/GLOCOM.2014.7037248
[3]  
Andre T, 2014, IEEE COMMUN MAG, V52, P128
[4]   Micro Aerial Vehicle Networks: An Experimental Analysis of Challenges and Opportunities [J].
Asadpour, Mahdi ;
Van den Bergh, Bertold ;
Giustiniano, Domenico ;
Hummel, Karin Anna ;
Pollin, Sofie ;
Plattner, Bernhard .
IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (07) :141-149
[5]   Flying Ad-Hoc Networks (FANETs): A survey [J].
Bekmezci, Ilker ;
Sahingoz, Ozgur Koray ;
Temel, Samil .
AD HOC NETWORKS, 2013, 11 (03) :1254-1270
[6]   Flying ad-hoc network application scenarios and mobility models [J].
Bujari, Armir ;
Calafate, Carlos T. ;
Cano, Juan-Carlos ;
Manzoni, Pietro ;
Palazzi, Claudio Enrico ;
Ronzani, Daniele .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (10) :1-17
[7]   Deploying air-ground multi-robot teams in urban environments [J].
Chaimowicz, L ;
Cowley, A ;
Gomez-Ibanez, D ;
Grocholsky, B ;
Hsieh, MA ;
Hsu, H ;
Keller, JF ;
Kumar, V ;
Swaminathan, R ;
Taylor, CJ .
MULTI-ROBOT SYSTEMS - FROM SWARMS TO INTELLIGENT AUTOMATA VOL III, 2005, :223-234
[8]   Search and Rescue Using Multiple Drones in Post-Disaster Situation [J].
Cui, Jin Q. ;
Phang, Swee King ;
Ang, Kevin Z. Y. ;
Wang, Fei ;
Dong, Xiangxu ;
Ke, Yijie ;
Lai, Shupeng ;
Li, Kun ;
Li, Xiang ;
Lin, Jing ;
Liu, Peidong ;
Pang, Tao ;
Wang, Kangli ;
Yang, Zhaolin ;
Lin, Feng ;
Chen, Ben M. .
UNMANNED SYSTEMS, 2016, 4 (01) :83-96
[9]   AirShield: A System-of-Systems MUAV Remote Sensing Architecture for Disaster Response [J].
Daniel, Kai ;
Dusza, Bjoern ;
Lewandowski, Andreas ;
Wietfeld, Christian .
2009 IEEE INTERNATIONAL SYSTEMS CONFERENCE, PROCEEDINGS, 2009, :196-200
[10]   Wireless Sensor Networks and Multi-UAV systems for natural disaster management [J].
Erdelj, Milan ;
Krol, Michal ;
Natalizio, Enrico .
COMPUTER NETWORKS, 2017, 124 :72-86