Twin-component near-pareto routing optimization for AANETs in the north-atlantic region relying on real flight statistics

J Cui, H Yetgin, D Liu, J Zhang, SX Ng… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Integrated ground-air-space (IGAS) networks intrinsically amalgamate terrestrial and non-
terrestrial communication techniques in support of universal connectivity across the globe …

Learning-vector-quantization-based topology sustainability for clustered-aanets

T Bilen, B Canberk - IEEE Network, 2021 - ieeexplore.ieee.org
Aeronautical ad hoc networks (AANETs) dramatically increase the Internet access rates of
aircraft by widening the coverage area thanks to the air-to-air links established. However …

Seamless networking for aeronautical communications: One major aspect of the SANDRA concept

S Plass - IEEE Aerospace and Electronic Systems Magazine, 2012 - ieeexplore.ieee.org
In air transportation one major bottleneck stressing capacity limits is identified: aeronautical
communications. By the 2025 timeframe aircraft operations are expected to double [1]. Well …

Internet of everything: A unifying framework beyond internet of things

E Dinc, M Kuscu, BA Bilgin, OB Akan - Harnessing the Internet of …, 2019 - igi-global.com
In this chapter, the authors put forward the notion of internet of everything (IoE) as an effort to
maximally connect our communication infrastructure to the universe, which can itself be …

Reinforcement Learning Based Energy-Efficient Routing with Latency Constraints for FANETs

X Qi, J Li, Z Lv, L Xiao - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) enables flying ad-hoc networks (FANETs) to choose the next
hop unmanned aerial vehicles (UAV s) with shorter routing path, but may raise the …

Deep reinforcement learning based routing in an air-to-air ad-hoc network

Z Wang, R Han, H Li, EJ Knoblock… - 2022 IEEE/AIAA 41st …, 2022 - ieeexplore.ieee.org
This paper studies the Multiple Sources and Multiple Destinations (MSMD) routing problem
in a dynamic Air-to-Air Ad-hoc Network (AAAN). We consider a spectrum-limited scenario …

Network architecture and wireless ad hoc routing for airborne internet services

A Numani, SM Gulfam, MA Javed… - Wireless Personal …, 2022 - Springer
The passengers traveling in aircraft require access to the internet to effectively utilizing their
precious in-flight time. Providing internet services to such users with similar specifications …

[图书][B] Adaptive sliding mode neural network control for nonlinear systems

Y Li, J Zhang, W Qiong - 2018 - books.google.com
Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear
systems basic knowledge, analysis and control methods, and applications in various fields. It …

Delay Doppler Division Multiple Access Resource Allocation in Aircraft Network

Y Liu, Y Wang, Y Shen - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Aircraft network has a wide range of applications and plays an important role in various
fields. However, the wide distribution and high dynamic motion of aircraft pose challenges to …

Simulating large-scale airborne networks with ns-3

B Newton, J Aikat, K Jeffay - Proceedings of the 2015 Workshop on ns-3, 2015 - dl.acm.org
Large-scale airborne networks, which connect airborne nodes with high-bandwidth
communication links are being actively pursued commercially. We propose utilizing …