Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region

Article


Cui, J., Liu, D., Zhang, J., Yetgin, H., Ng, S.X., Maunder, R. and Hanzo, L. 2021. Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region. IEEE Open Journal of Vehicular Technology. 2, pp. 310-320. https://doi.org/10.1109/OJVT.2021.3089543
TypeArticle
TitleMinimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region
AuthorsCui, J., Liu, D., Zhang, J., Yetgin, H., Ng, S.X., Maunder, R. and Hanzo, L.
Abstract

Relying on multi-hop communication techniques, aeronautical ad hoc networks (AANETs) seamlessly integrate ground base stations (BSs) and satellites into aircraft communications for enhancing the on-demand connectivity of planes in the air. The goal of the paper is to assess the performance of the classic shortest-path routing algorithm in the context of the real flight data collected in the North-Atlantic Region. Specifically, in this integrated AANET context we investigate the shortest-path routing problem with the objective of minimizing the total delay of the in-flight connection from the ground BS subject to certain minimum-rate constraints for all selected links in support of low-latency and high-speed services. Inspired by the best-first search and priority queue concepts, we model the problem formulated by a weighted digraph and find the optimal route based on the shortest-path algorithm. Our simulation results demonstrate that aircraft-aided multi-hop communications are capable of reducing the total delay of satellite communications, when relying on real historical flight data.

KeywordsAeronautical ad hoc networks (AANETs); in-flight connection; shortest-path routing; real historical flight data
Sustainable Development Goals11 Sustainable cities and communities
Middlesex University ThemeSustainability
PublisherIEEE
JournalIEEE Open Journal of Vehicular Technology
ISSN
Electronic2644-1330
Publication dates
Online16 Jun 2021
Print07 Jul 2021
Publication process dates
Submitted17 May 2021
Accepted07 Jun 2021
Deposited05 Apr 2024
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/

Digital Object Identifier (DOI)https://doi.org/10.1109/OJVT.2021.3089543
Web of Science identifierWOS:000672187000002
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/11q2xx

  • 30
    total views
  • 14
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
Fortuna, C., Yetgin, H. and Mohorčič, M. 2023. Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation. IEEE Industrial Electronics Magazine. 17 (2), pp. 37-47. https://doi.org/10.1109/MIE.2022.3165673
HANNA: Human-friendly provisioning and configuration of smart devices
Fortuna, C., Yetgin, H., Ogrizek, L., Municio, E., Marquez-Barja, J.M. and Mohorcic, M. 2023. HANNA: Human-friendly provisioning and configuration of smart devices. Engineering Applications of Artificial Intelligence. 126 (Part A). https://doi.org/10.1016/j.engappai.2023.106745
Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks
Ivanescu, T., Yetgin, H., Merrett, G.V. and El-Hajjar, M. 2022. Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks. IEEE Access. 10, pp. 119956-119969. https://doi.org/10.1109/access.2022.3221446
Machine learning for wireless link quality estimation: A survey
Cerar, G., Yetgin, H., Mohorčič, M. and Fortuna, C. 2021. Machine learning for wireless link quality estimation: A survey. IEEE Communications Surveys and Tutorials. 23 (2), pp. 696-728. https://doi.org/10.1109/COMST.2021.3053615
Twin-component near-pareto routing optimization for AANETs in the North-Atlantic Region relying on real flight statistics
Cui, J., Yetgin, H., Liu, D., Zhang, J., Ng, S.X. and Hanzo, L. 2021. Twin-component near-pareto routing optimization for AANETs in the North-Atlantic Region relying on real flight statistics. IEEE Open Journal of Vehicular Technology. 2, pp. 346-364. https://doi.org/10.1109/OJVT.2021.3095467
Time-to-provision evaluation of IoT devices using automated zero-touch provisioning
Boskov, I., Yetgin, H., Vučnik, M., Fortuna, C. and Mohorčič, M. 2020. Time-to-provision evaluation of IoT devices using automated zero-touch provisioning. 2020 IEEE Global Communications Conference. Taipei, Taiwan 07 - 11 Dec 2020 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9348119
On designing a machine learning based wireless link quality classifier
Cerar, G., Yetgin, H., Mohorčič, M. and Fortuna, C. 2020. On designing a machine learning based wireless link quality classifier. IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. London, UK 31 Aug - 03 Sep 2020 IEEE. https://doi.org/10.1109/PIMRC48278.2020.9217171
Security, usability, and biometric authentication scheme for electronic voting using multiple keys
Ahmad, M., Rehman, A.U., Ayub, N., Alshehri, MD., Khan, M.A., Hameed, A. and Yetgin, H. 2020. Security, usability, and biometric authentication scheme for electronic voting using multiple keys. International Journal of Distributed Sensor Networks. 16 (7). https://doi.org/10.1177/1550147720944025
Learning to detect anomalous wireless links in IoT networks
Cerar, G., Yetgin, H., Bertalanic, B. and Fortuna, C. 2020. Learning to detect anomalous wireless links in IoT networks. IEEE Access. 8, pp. 212130-212155. https://doi.org/10.1109/ACCESS.2020.3039333
Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform
Kuru, K., Ansell, D., Khan, W. and Yetgin, H. 2019. Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform. IEEE Access. 7, pp. 15804-15831. https://doi.org/10.1109/ACCESS.2019.2892716
Transformation to advanced mechatronics systems within new industrial revolution: a navel framework in Automation of Everything (AoE)
Kuru, K. and Yetgin, H. 2019. Transformation to advanced mechatronics systems within new industrial revolution: a navel framework in Automation of Everything (AoE). IEEE Access. 7, pp. 41395-41415. https://doi.org/10.1109/ACCESS.2019.2907809
Whitelisting in RFDMA networks
Šolc, T., Yetgin, H., Gale, T., Mohorčič, M. and Fortuna, C. 2019. Whitelisting in RFDMA networks. IEEE Access. 7, pp. 159284-159299. https://doi.org/10.1109/ACCESS.2019.2950754
A survey of network lifetime maximization techniques in wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2017. A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys and Tutorials. 19 (2), pp. 828-854. https://doi.org/10.1109/COMST.2017.2650979
Network-lifetime maximization of wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2015. Network-lifetime maximization of wireless sensor networks. IEEE Access. 3, pp. 2191-2226. https://doi.org/10.1109/ACCESS.2015.2493779
Cross-layer network lifetime maximization in interference-limited WSNs
Yetgin, H,, Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2015. Cross-layer network lifetime maximization in interference-limited WSNs. IEEE Transactions on Vehicular Technology. 64 (8), pp. 3795-3803. https://doi.org/10.1109/TVT.2014.2360361
Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2014. Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks. IET Wireless Sensor Systems. 4 (4), pp. 176-182. https://doi.org/10.1049/iet-wss.2014.0049
Multi-objective routing optimization using evolutionary algorithms
Yetgin, H., Cheung, K.T.K. and Hanzo, L. 2012. Multi-objective routing optimization using evolutionary algorithms. 2012 IEEE Wireless Communications and Networking Conference. Paris, France 01 - 04 Apr 2012 IEEE. pp. 3030-3034 https://doi.org/10.1109/WCNC.2012.6214324