UAVs-Assisted Edge Networks Optimization Based on Constrained Particle Swarm Algorithm

L Zhang, F Wen, X Li - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
The mobility of unmanned aerial vehicles (UA Vs) has attracted widespread attention in
mobile edge computing (MEC). Due to limitations in UAVs communication capacity and …

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 …

[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 …

Joint deployment and trajectory optimization in UAV-assisted vehicular edge computing networks

Z Wu, Z Yang, C Yang, J Lin, Y Liu… - … of Communications and …, 2021 - ieeexplore.ieee.org
As the general mobile edge computing (MEC) scheme cannot adequately handle the
emergency communication requirements in vehicular networks, unmanned aerial vehicle …

Joint optimization for latency minimization in UAV-assisted MEC networks

C Wang, R Zhang, H Cao, J Song… - Proceedings of the 5th …, 2022 - dl.acm.org
Combining unmanned aerial vehicles (UAVs) with multi-access edge computing (MEC)
networks has been deemed as a potential approach for delay-sensitive applications. In this …

Joint Optimization of Network Lifetime and SNR in UAV-Assisted Edge Networks

S Tripathi, OJ Pandey… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
One of the critical challenges of unmanned aerial vehicle (UAV)-assisted edge networks is
to prolong the network lifetime with improved quality-of-service (QoS) at the sensor nodes …

[HTML][HTML] UAV-aided networks with optimization allocation via artificial bee colony with intellective search

B Hu, Z Sun, H Hong, J Liu - EURASIP Journal on Wireless …, 2020 - Springer
In this paper, we consider a strong global search algorithm which exhibits strong exploration
ability in unmanned aerial vehicle (UAV)-aided networks. UAVs in wireless communication …

HNIO: A hybrid nature-inspired optimization algorithm for energy minimization in UAV-assisted mobile edge computing

Y Chen, D Pi, S Yang, Y Xu, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computing paradigm that decreases the
computing time and extends the lifespan of user equipments (UEs). In MEC, the …

Energy consumption minimization in dynamic UAV-assisted mobile edge computing networks

C Wang, D Zhai, R Zhang, G Kaddoum… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) combining with mobile edge computing (MEC) networks
have promoted the application of Internet of Things (IoT) devices, providing enhanced …

Analysis of deployment and task assignment for multi-UAV-assisted MEC networks

Y Zhao, S Gu - 2nd International Conference on Signal Image …, 2022 - spiedigitallibrary.org
Using Unmanned aerial vehicles (UAVs) to assist mobile edge computing (MEC) network is
a promising solution to provide flexible and low-latency computing service for resource …