Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective …

D Liu, J Zhang, J Cui, SX Ng… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Data packet routing in aeronautical ad hoc networks (AANETs) is challenging due to their
high-dynamic topology. In this article, we invoke deep learning (DL) to assist routing in …

Deep reinforcement learning aided packet-routing for aeronautical ad-hoc networks formed by passenger planes

D Liu, J Cui, J Zhang, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their
high-dynamic topology. In this paper, we invoke deep reinforcement learning for routing in …

Multiple-objective packet routing optimization for aeronautical ad-hoc networks

J Zhang, D Liu, S Chen, SX Ng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Providing Internet service above the clouds is of ever-increasing interest and in this context
aeronautical ad-hoc networking (AANET) constitutes a promising solution. However, the …

Adaptive routing design for flying ad hoc networks

M Zhang, C Dong, P Yang, T Tao, Q Wu… - IEEE …, 2022 - ieeexplore.ieee.org
Adaptive routing and efficient packet delivery in Flying Ad Hoc Networks (FANETs) are
significant challenges due to underlying environment constraints, such as dynamic nature …

Q-learning driven routing for aeronautical ad-hoc networks

T Bilen, B Canberk - Pervasive and Mobile Computing, 2022 - Elsevier
The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the
Internet connectivity requirement of airplanes during their flights. However, the ultra-dynamic …

Deep learning aided routing for space-air-ground integrated networks relying on real satellite, flight, and shipping data

D Liu, J Zhang, J Cui, SX Ng… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Current maritime communications mainly rely on satellites having meager transmission
resources, hence suffering from poorer performance than modern terrestrial wireless …

QEHLR: A Q-Learning Empowered Highly Dynamic and Latency-Aware Routing Algorithm for Flying Ad-Hoc Networks

Q Xue, Y Yang, J Yang, X Tan, J Sun, G Li, Y Chen - Drones, 2023 - mdpi.com
With the growing utilization of intelligent unmanned aerial vehicle (UAV) clusters in both
military and civilian domains, the routing protocol of flying ad-hoc networks (FANETs) has …

AI-driven aeronautical ad hoc networks for 6G wireless: Challenges, opportunities, and the road ahead

T Bilen, B Canberk, V Sharma, M Fahim, TQ Duong - Sensors, 2022 - mdpi.com
Aeronautical ad hoc network (AANET) has been considered a promising candidate to
complete the vision of “Internet in the sky” by supporting high-speed broadband connections …

A Q-Learning-Based Topology-Aware Routing Protocol for Flying Ad Hoc Networks

MY Arafat, S Moh - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Flying ad hoc networks (FANETs) have emanated over the last few years for numerous civil
and military applications. Owing to underlying attributes, such as a dynamic topology, node …

Adaptive routing design for flying ad hoc networks: a joint prediction approach

M Zhang, H Cheng, P Yang, C Dong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Flying Ad Hoc Networks (FANETs) are essential for a wide range of military and civil
applications as they significantly reduce mission duration and improve coverage compared …