Secure and Energy-Efficient Communication for Internet of Drones Networks: A Deep Reinforcement Learning Approach

N Aboueleneen, A Alwarafy… - … and Mobile Computing …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD)-aided wireless networks are proving their efficiency in various
commercial and military applications, such as object recognition, surveillance, and data …

Wireless power and energy harvesting control in IoD by deep reinforcement learning

J Yao, N Ansari - IEEE Transactions on Green Communications …, 2021 - ieeexplore.ieee.org
Internet of Drones (IoD), which deploys several drones in the air to collect ground
information and send them to the IoD gateway for further processing, can be applied in traffic …

[HTML][HTML] Deep reinforcement learning aided secure UAV communications in the presence of moving eavesdroppers

G Su, M Dai, B Chen, X Lin - Journal of King Saud University-Computer and …, 2024 - Elsevier
Integrating unmanned aerial vehicles (UAVs) with wireless systems is widely anticipated to
bring enormous benefits to network users, and is considered as a key enabling technology …

Power control in Internet of Drones by deep reinforcement learning

J Yao, N Ansari - … 2020-2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Internet of Drones (IoD) employs drones as the internet of things (IoT) devices to provision
applications such as traffic surveillance and object tracking. Data collection service is a …

Deep reinforcement learning enabled UAV-IRS-assisted secure mobile edge computing network

Y Zhang, J Li, G Mu, X Chen - Physical Communication, 2023 - Elsevier
The deployment of intelligent reflecting surfaces (IRS) on dynamically moving unmanned
aerial vehicles (UAVs) can enhance the communication performance of mobile edge …

Joint Trajectory and Power Control Design for UAV Anti-Jamming Communication Network

J Zhang, W Ding, Y Luo, Y Wang… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) have been used in wireless communication
network due to the advantages of low cost, high mobility and effective deployment. However …

Dinkelbach-guided deep reinforcement learning for secure communication in UAV-aided MEC networks

W Lu, Y Ding, Y Feng, G Huang, N Zhao… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle-aided (UAV-aided) mobile edge computing (MEC) network can
greatly reduce the data growth pressure of Internet of Things (IoT) and expand the wireless …

UAV-Assisted Wireless-Powered Secure Communications: Integration of Optimization and Deep Learning

K Heo, W Lee, K Lee - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
This paper presents a novel framework that combines an optimization-based approach with
a deep learning (DL)-based approach to devise a cooperative strategy for unmanned aerial …

Secure federated learning by power control for internet of drones

J Yao, N Ansari - IEEE Transactions on Cognitive …, 2021 - ieeexplore.ieee.org
Fog-aided Internet of Drones (IoD), where massive training data are collected by drones and
analyzed in the fog node, can leverage machine learning to provision various services …

Dual-UAV aided secure dynamic G2U communication

H Kang, W Li, J Mišić, VB Mišić… - 2022 IEEE Symposium …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communication is easily wiretapped by malignant nodes
due to the broadcast nature of line-of-sight (LoS) wireless channels. To tackle this problem …