[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

[HTML][HTML] A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things

AM Raivi, S Moh - Computer Science Review, 2023 - Elsevier
In recent years, unmanned aerial vehicles (UAVs) have been used to extend the Internet of
things (IoT) framework owing to their vast applications, monitoring and surveillance …

Task Offloading Optimization in Digital Twin Assisted MEC-Enabled Air-Ground IIoT 6 G Networks

M Hevesli, AM Seid, A Erbad… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The upcoming 6G paradigm leverages digital twin (DT) to create a virtual replica of network
topology, facilitating real-time control in complex environments. In intelligent manufacturing …

Hierarchical Digital Twin Enhanced Cooperative Sensing for UAV Swarms

L Zhou, S Leng, TQS Quek - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the development of the future wireless communication technology and the Internet of
Things (IoT), the digital twin (DT) system has become a new enabler for high-efficiency …

Adaptive multi-UAV trajectory planning leveraging digital twin technology for urban IIoT applications

L Zhao, S Li, Y Guan, S Wan, A Hawbani… - … on Network Science …, 2023 - ieeexplore.ieee.org
In this paper, flying mobile computing is considered to serve terrestrial Intelligent Internet-of-
Things (IIoT) in a dynamic scenario. Existing work mainly trains the trajectory model on …

Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps

B Zhang, X Lin, Y Zhu, J Tian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have recently attracted significant attention due to their
potential applications in reconnaissance and search. This paper aims to investigate the …

[HTML][HTML] Graph-based multi-agent reinforcement learning for collaborative search and tracking of multiple UAVs

Z Bocheng, HUO Mingying, LI Zheng, F Wenyu… - Chinese Journal of …, 2024 - Elsevier
This paper investigates the challenges associated with Unmanned Aerial Vehicle (UAV)
collaborative search and target tracking in dynamic and unknown environments …

A distributed framework for multiple UAV cooperative target search under dynamic environment

Y Li, Z Zhang, Q Sun, Y Huang - Journal of the Franklin Institute, 2024 - Elsevier
The rapid advancement of unmanned aerial vehicles (UAVs) has led to widespread
application in cooperative target search. As task scenarios become more complex, the …

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 …

Improved DRL-based energy-efficient UAV control for maximum lifecycle

H Ma, G Yang, X Sun, D Qu, G Chen, X **… - Journal of the Franklin …, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) operating as airborne base stations (UAV-BSs) provide
efficient on-demand services to ground users. UAV-BSs are inherently flexible and mobile …