Resource allocation for multi‐UAV‐assisted mobile edge computing to minimize weighted energy consumption

A Li, L Dai, L Yu - IET Communications, 2022 - Wiley Online Library
This paper studies a multi‐unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) system, where multiple UAVs equipped with MEC server are deployed to provide …

A deep learning approach for task offloading in multi-UAV aided mobile edge computing

MA Ebrahim, GA Ebrahim, HK Mohamed… - IEEE …, 2022 - ieeexplore.ieee.org
Computation offloading has proven to be an effective method for facilitating resource-
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …

Intelligent UAV planning for task-offloading with limited buffer and multiple computing servers

X Chen, R Ma - Physical Communication, 2024 - Elsevier
Abstract Dynamically moving Unmanned Aerial Vehicles (UAVs) have emerged as an
effective means to significantly enhance the flexibility and transmission performance of …

Efficient edge intelligence under clustering for UAV swarm networks

Y Qu, C Dong, T Wu, Y Zhuang… - … Conference On Space …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are expected to be widely used in many critical
applications including monitoring, surveillance, urban target tracking, and delivery of goods …

[HTML][HTML] Decomposition-based learning in drone-assisted wireless-powered mobile edge computing networks

X Zhou, L Huang, T Ye, W Sun - Digital Communications and Networks, 2023 - Elsevier
This paper investigates the multi-Unmanned Aerial Vehicle (UAV)-assisted wireless-
powered Mobile Edge Computing (MEC) system, where UAVs provide computation and …

Multi-objective cooperative computation offloading for MEC in UAVs hybrid networks via integrated optimization framework

Z Yao, H Wu, Y Chen - Computer Communications, 2023 - Elsevier
With the continuous expansion of the application field of the Internet of Things (IoT), mobile
edge computing (MEC) is regarded as a promising technique to reduce the time-delay and …

Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization

M Li, N Cheng, J Gao, Y Wang, L Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing
(MEC) with the objective to optimize computation offloading with minimum UAV energy …

Intelligent resource allocation in UAV-enabled mobile edge computing networks

M Wang, S Shi, S Gu, N Zhang… - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been considered as effective flying base stations
(FBSs) to provide on-demand wireless communications. Equipped with computation …

Energy Consumption Modeling and Optimization of UAV-Assisted MEC Networks Using Deep Reinforcement Learning

M Yan, L Zhang, W Jiang, CA Chan… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted multiaccess edge computing (MEC) technology
has garnered significant attention and has been successfully implemented in specific …

A mobile edge computing framework for task offloading and resource allocation in UAV-assisted VANETs

Y He, D Zhai, R Zhang, J Du… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
In this paper, we propose a mobile edge computing (MEC)-enabled unmanned aerial
vehicle (UAV)-assisted vehicular ad hoc networks (VANETs) architecture, based on which a …