FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic

Keywords: FANET, Mobility models, IEEE 802.11n, Non-real time traffic, Real-time traffic


Data traffic is the most important data transmission between users inside every network, these data traffic can be videos, files, voice, pictures, and many more, that divided into two types, real-time and non-real-time traffic. Most real-time traffic data has a low tolerance for the delay during transmission as they need to be fast received between communication devices. In this paper, a comprehensive analysis will be made to evaluate the two types of data transmitted through FANET drones, with different mobility models and two types of IEEE 802.11 2.4 GHz and 5 GHz by using OLSR routing protocol. Metrics such as delay and throughput will be measured. This paper gives an important overview of how real and non-real-time traffic will be handled during data transmission in FANET networks.


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Author Biographies

Ghassan A. QasMarrogy, ‎Department of Communication and Computer Engineering, Cihan University-Erbil, Kurdistan ‎Region, Iraq

Ghassan A. QasMarrogy. He is a Lecturer at the Department of Communication and Computer at Cihan University-Erbil, Kurdistan Region, F.R. Iraq. He got his a B.Sc. degree in Communication Engineering and M.Sc. degree in Data Communication Networks. His research interest includes Data and Multimedia Communication - Wireless and ad-hoc Networks, MANETs and Security. He is a member of Iraq Engineering Union. 

Areen J. Fadhil, Department of Information System Engineering, Erbil Technical Engineering College, Erbil, Iraq

Miss  Areen Jamal Fadhil is a  graduated from Department of Information System Engineering, Erbil Technical Engineering College, Erbil, Iraq. Her research interest includes computer software and networks .


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How to Cite
QasMarrogy G, Fadhil A. FANET Drone’s Data Applications, Mobility Models and Wi-Fi IEEE 802.11n Standards for Real and Non-Real Time Traffic. cuesj [Internet]. 22Aug.2022 [cited 1Oct.2022];6(2):76-0. Available from:
Research Article