Affiliation:
1. Electronics and Communication Engineering, Yildiz Technical University, Istanbul, Turkey
2. Electrical and Electronics Engineering, Kafkas University, Kars, Turkey
Abstract
Unmanned aerial vehicles (UAVs) or drones have been widely employed in both military and civilian tasks due to their reliability and low cost. UAVs ad hoc networks also acknowledged as flying ad-hoc networks (FANETs), are multi-UAV systems arranged in an ad hoc manner. In order to maintain consistent and effective communication, reliability is a prime concern in FANETs. This paper presents an analytical framework to estimate the reliability of drones’ communication in FANETs. The proposed system takes into account the reliability of communications in FANETs, including channel fading. The suggested analytical investigation is used to generate a dataset, then an artificial neural network (ANN) based multi-layer perceptron (MLP) model is used to estimate the reliability of drones’ communication. Moreover, to define the best MLP model with hidden layers, the correlation coefficient (R2), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE) are obtained. Moreover, numerical results are presented which verify analytical studies.
Publisher
International Advanced Researches and Engineering Journal
Reference31 articles.
1. 1. A. F. M. S. Shah, A Survey From 1G to 5G Including the Advent of 6G: Architectures, Multiple Access Techniques, and Emerging Technologie, in Proc. of IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). 2022. Las Vegas, NV, USA: p. 1117-1123.
2. 2. A. F. M. S. Shah, Haci Ilhan and Ufuk Tureli, Designing and Analysis of IEEE 802.11 MAC for UAVs Ad Hoc Networks, in Proc. of IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). 2019. New York, USA: 2019. p. 0934-0939.
3. 3. Shah A. F. M. S. , Karabulut M. A. Optimization of drones communication by using meta-heuristic optimization algorithms, Sigma Journal of Engineering and Natural Sciences. 2022. 40(1): p. 108-117.
4. 4. Surzhik D. I., G. S. Vasilyev and O. R. Kuzichkin, Development of UAV trajectory approximation techniques for adaptive routing in FANET networks, 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020. p. 1226-1230.
5. 5. Bhardwaj V. and N. Kaur, An efficient routing protocol for FANET based on hybrid optimization algorithm, International Conference on Intelligent Engineering and Management (ICIEM), 2020. p. 252-255.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献