A survey on UAV-enabled edge computing: Resource management perspective

X Xia, SMM Fattah, MA Babar - ACM Computing Surveys, 2023 - dl.acm.org
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

Periodic Collaboration and Real-Time Dispatch Using an Actor–Critic Framework for UAV Movement in Mobile Edge Computing

H Zeng, Z Zhu, Y Wang, Z Xiang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The increasing need for communication capabilities in mobile devices has led to the
recognition of mobile edge computing (MEC) as a critical solution for addressing …

Stackelberg game approach for service selection in UAV networks

AM Hadjkouider, CA Kerrache, A Korichi, Y Sahraoui… - Sensors, 2023 - mdpi.com
Nowadays, mobile devices are expected to perform a growing number of tasks, whose
complexity is also increasing significantly. However, despite great technological …

Game Theory-based UAV-Cloud for Service Selection Architecture in Flying Ad Hoc Networks

B Brik, FE Abukhres, A Algaddafi… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The rapid progression of Cloud Computing (CC) technology has ushered in innovative
ecosystem concepts such as Mobile Cloud Computing (MCC). In this context, the …

Research on winter wheat growth stages recognition based on mobile edge computing

Y Li, H Liu, J Wei, X Ma, G Zheng, L Xi - Agriculture, 2023 - mdpi.com
The application of deep learning (DL) technology to the identification of crop growth
processes will become the trend of smart agriculture. However, using DL to identify wheat …

Improving quality of service and HTTPS DDoS detection in MEC environment with a cyber deception-based architecture

J Kabdjou, N Shinomiya - IEEE Access, 2024 - ieeexplore.ieee.org
Creating a cyber deception framework for 5G networks, particularly in IoT and cellular
applications, is complex due to critical constraints in managing resources, meeting low …

Modelling Power Consumptions for Multi-rotor UAVs

H Gong, B Huang, B Jia, H Dai - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have various advantages, but suffer from their limited
energy in practical applications. Therefore, it is important to establish reasonable power …

Joint Optimization of Multi-UAV Deployment and User Association Via Deep Reinforcement Learning for Long-Term Communication Coverage

X Cheng, R Jiang, H Sang, G Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The flexible deployment and strong adaptability of unmanned aerial vehicles (UAVs) have
great significance in improving communication quality and expanding communication …

Beam prediction and tracking mechanism with enhanced LSTM for mmWave aerial base station

J Zhang, F Zhou, W Li, F Qi - Wireless Networks, 2024 - Springer
By combining millimeter wave (mmWave) with abundant spectral resources and advanced
directional beamforming technology, mmWave aerial base stations (mAeBSs) can provide …

Computation‐efficiency‐oriented resource optimization in NOMA‐assisted multi‐UAV‐enabled MEC networks

Q Liu, J Tian, X Zhou, D Yuan… - International Journal of …, 2024 - Wiley Online Library
Unmanned aerial vehicles (UAVs) can serve as aerial mobile edge computing (MEC)
servers to provide computing services to Internet of Things smart devices (ISDs) with …