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

Abstract

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 .

References

H. J. Alqaysi and G. A. QasMarrogy. Performance analysis of video streaming application over MANETs routing protocols. International Journal of Research in Computer Applications and Robotics, vol. 3, pp. 22-28, 2015.

D. Ramphull, A. Mungur, S. Armoogum and S. Pudaruth. A review of mobile ad hoc NETwork (MANET) protocols and their applications. In: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, pp. 204-211, 2021

A. Srivastava and J. Prakash. Future FANET with application and enabling techniques: Anatomization and sustainability issues. Computer Science Review, vol. 39, pp. 100359, 2021.

G. QasMarrogy. Evaluation of flying Ad Hoc network topologies, mobility models, and IEEE standards for different video applications. Aro-the Scientific Journal of Koya University, vol. 9, no. 1, pp.77-88, 2021.

K. Y. Tsao, T. Girdler and V. G. Vassilakis. A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks. Ad Hoc Networks, vol. 133, no. 1, p.102894, 2022.

M. M. S. Ibrahim and P. Shanmugaraja. Optimized link state routing protocol performance in flying ad-hoc networks for various data rates of un manned aerial network. Materials Today Proceedings, vol. 37, pp.3561-568, 2021.

P. K. Sharma and D. I. Kim. Random 3D mobile UAV networks: Mobility modeling and coverage probability. IEEE Transactions on Wireless Communications, vol. 18, no. 5, pp.2527-2538, 2019.

K. Nabar and G. Kadambi. Affinity propagation-driven distributed clustering approach to tackle greedy heuristics in mobile Ad-hoc networks. Computers and Electrical Engineering, vol. 71, pp. 988-1011, 2018.

A. Chinmay and H. K. Pati. VoWiFi cell capacity evaluation using IEEE 802.11 ac for VBR traffic. In: 2021 3rd International Conference on Computer Communication and the Internet (ICCCI). IEEE, pp. 141-145, 2021.

S. Rajbhandari, A. V. Jalajakumari, H. Chun, G. Faulkner, K. Cameron, R. Henderson, D. Tsonev, H. Haas, E. Xie,

J. J. McKendry, R. Ferreira, E. Gu, M. D. Dawson, D. O’Brienand and J. Herrnsdorf. A multigigabit per second integrated multipleinput multiple-output VLC demonstrator. Journal of LightwaveTechnology, vol. 35, no. 20, pp.4358-4365, 2017.

I. Dolińska, M. Jakubowski and A. Masiukiewicz. Interference comparison in wi-fi 2.4 ghz and 5 ghz bands. In: 2017 International Conference on Information and Digital Technologies (IDT). IEEE, pp. 106-112, 2017.

G. A. Q. Marrogy. Enhancing video streaming transmission in 5 GHz fanet drones parameters. Telecommunications and Radio Engineering, vol. 79, no. 11, pp. 997-1007, 2020.

R. Singh, N. Singh and A. G. Dinker. Performance analysis of TCP variants using AODV and DSDV routing protocols in MANETs. Recent Advances in Computer Science and Communications, vol. 14, no. 2, pp.448-455, 2021.

H. Ozkan, R. Temelli, O. Gurbuz, O. K. Koksal, A. K. Ipekoren, F. Canbal, B. D. Karahan and M. S. Kuran. Multimedia traffic classification with mixture of Markov components. Ad Hoc Networks, vol. 121, pp. 102608, 2021.

Published
2022-08-22
How to Cite
1.
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 25Apr.2024];6(2):76-0. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/679
Section
Review Article