TY - JOUR
T1 - Communication and networking technologies for UAVs
T2 - A survey
AU - Sharma, Abhishek
AU - Vanjani, Pankhuri
AU - Paliwal, Nikhil
AU - Basnayaka, Chathuranga M.Wijerathna
AU - Jayakody, Dushantha Nalin K.
AU - Wang, Hwang Cheng
AU - Muthuchidambaranathan, P.
PY - 2020/10/15
Y1 - 2020/10/15
N2 - With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications.
AB - With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications.
KW - 5G mobile communication
KW - Communication systems
KW - Mobile communication
KW - Unmanned aerial vehicles
KW - Wireless networks
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U2 - 10.1016/j.jnca.2020.102739
DO - 10.1016/j.jnca.2020.102739
M3 - Review article
AN - SCOPUS:85089999074
VL - 168
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
SN - 1084-8045
M1 - 102739
ER -