Constrained Multi-Objective Decomposition Evolutionary Algorithm for UAVs-Assisted Mobile Edge Computing Networks

L Zhang, F Wen, Q Zhang, G Gui… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The increasing significance of unmanned aerial vehicles (UAVs) in mobile edge computing
(MEC) has captured considerable attention. Nevertheless, the effectiveness of UAVs …

Joint UAV Deployment and Task Offloading in Large-Cale UAV-Assisted MEC: A Multiobjective Evolutionary Algorithm

Q Qiu, L Li, Z Xiao, Y Feng, Q Lin, Z Ming - Mathematics, 2024 - mdpi.com
With the development of digital economy technologies, mobile edge computing (MEC) has
emerged as a promising computing paradigm that provides mobile devices with closer edge …

Energy-efficient resource allocation for UAV-empowered mobile edge computing system

Y Cheng, Y Liao, X Zhai - … on Utility and Cloud Computing (UCC …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been gained significant attention from mobile
network operators (MNOs) to provision low-latency wireless big data applications, where a …

Constrained multi-objective optimization for UAV-enabled mobile edge computing: Offloading optimization and path planning

C Peng, X Huang, Y Wu, J Kang - IEEE Wireless …, 2022 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV) is employed to sequentially visit the specific waypoints
and provide offloading services for nearby devices. Most of the current works optimized the …

A joint optimization method for multi-UAV deployment and task scheduling in mobile edge computing with large-scale mobile users

H Ouyang, L Liang, S Li, L Gao - Expert Systems with Applications, 2024 - Elsevier
In the realm of multi-UAV-assisted mobile edge computing (MEC), the joint optimization of
UAV deployment and task scheduling has emerged as a potent approach for mitigating …

[HTML][HTML] PPO-Based Joint Optimization for UAV-Assisted Edge Computing Networks

Z Liu, Q Zhang, Y Su - Applied Sciences, 2023 - mdpi.com
In next-generation mobile communication scenarios, more and more user terminals (UEs)
and edge computing servers (ECSs) are connected to the network. To ensure the …

Multi-objective Optimization for Multi-UAV-assisted Mobile Edge Computing

G Sun, Y Wang, Z Sun, Q Wu, J Kang, D Niyato… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing
(MEC) have provided users with flexible and resilient computing services. However, meeting …

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach

X Huang, C Peng, Y Wu, J Kang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
To provide a dependency-aware application, multiple unmanned aerial vehicles (UAVs) are
employed to serve a ground user with a set of interdependent tasks. This leads to a new …

Constrained Multiobjective Optimization for UAV-assisted Mobile Edge Computing in Smart Agriculture: Minimizing Delay and Energy Consumption

K Li, S Xie, T Zhu, H Wang - IEEE Transactions on Sustainable …, 2024 - ieeexplore.ieee.org
With the development of technology, unmanned aerial vehicles (UAVs) and Internet of
Things devices are widely used in smart agriculture, resulting in significant energy …

[HTML][HTML] Multiobjective trajectory optimization algorithms for solving multi-UAV-assisted mobile edge computing problem

M Abdel-Basset, R Mohamed, IM Hezam… - Journal of Cloud …, 2024 - Springer
Abstract The Internet of Things (IoT) devices are not able to execute resource-intensive tasks
due to their limited storage and computing power. Therefore, Mobile edge computing (MEC) …