Federated learning meets intelligence reflection surface in drones for enabling 6G networks: Challenges and opportunities

AV Shvetsov, SH Alsamhi, A Hawbani, S Kumar… - IEEE …, 2023 - ieeexplore.ieee.org
The combination of drones and Intelligent Reflecting Surfaces (IRS) have emerged as
potential technologies for improving the performance of six Generation (6G) communication …

A uav-swarm-communication model using a machine-learning approach for search-and-rescue applications

H Khalil, SU Rahman, I Ullah, I Khan, AJ Alghadhban… - Drones, 2022 - mdpi.com
This paper presents a UAV-swarm-communication model using a machine-learning
approach for search-and-rescue applications. Firstly, regarding the communication of UAVs …

Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions

P Cao, L Lei, S Cai, G Shen, X Liu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarm networking and collaboration have significant
prospects in both civilian and military applications, due to its remarkable properties in …

MSAO: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications

Y **ao, H Cui, AG Hussien, FA Hashim - Advanced Engineering Informatics, 2024 - Elsevier
Abstract Snow Ablation Optimizer (SAO) is a cutting-edge nature-inspired meta-heuristic
technique that mimics the sublimation and melting processes of snow in its quest for optimal …

A Machine Learning-Aided Network Contention-Aware Link Lifetime-and Delay-Based Hybrid Routing Framework for Software-Defined Vehicular Networks

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
The functionality of Vehicular Ad Hoc Networks (VANETs) is improved by the Software-
Defined Vehicular Network (SDVN) paradigm. Routing is challenging in vehicular networks …

Drone Detection and Tracking Using RF Identification Signals

D Aouladhadj, E Kpre, V Deniau, A Kharchouf… - Sensors, 2023 - mdpi.com
The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

Thermal and visual tracking of photovoltaic plants for autonomous UAV inspection

L Morando, CT Recchiuto, J Calla, P Scuteri… - Drones, 2022 - mdpi.com
Because photovoltaic (PV) plants require periodic maintenance, using unmanned aerial
vehicles (UAV) for inspections can help reduce costs. Usually, the thermal and visual …

Towards mid-air collision-free trajectory for autonomous and pilot-controlled unmanned aerial vehicles

K Kuru, JM Pinder, BJ Watkinson, D Ansell… - IEEE …, 2023 - ieeexplore.ieee.org
The subject of autonomy within unmanned aerial vehicles (UAVs) has proven to be a
remarkable research field–mostly due to the development of AI techniques within embedded …

Heterogeneous mission planning for multiple uav formations via metaheuristic algorithms

Y Wu, T Liang, J Gou, C Tao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) formation has been widely applied in various aspects, both
for military and civil purposes. In this article, multiple UAV formations are deployed to …

Adjustable fully adaptive cross-entropy algorithms for task assignment of multi-UAVs

K Wang, X Zhang, X Qiao, X Li, W Cheng, Y Cong… - Drones, 2023 - mdpi.com
This paper investigates the multiple unmanned aerial vehicle (multi-UAV) cooperative task
assignment problem. Specifically, we assign different types of UAVs to accomplish the …