Response delay optimization in mobile edge computing enabled UAV swarm

Q Zhang, J Chen, L Ji, Z Feng, Z Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… the performance of UAV-aided wireless communication, mobile edge computing (MEC)
technology is proposed by appropriately utilizing computing resources at the edge of network to …

Unmanned aerial vehicle swarm-enabled edge computing: Potentials, promising technologies, and challenges

W Wu, F Zhou, B Wang, Q Wu… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
edge computing enabled by a single or a small scale UAVs, which are very different from UAV
swarm-enabled edge computing… applications of UAV swarm-enabled edge computing, the …

Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications

SMA Huda, S Moh - IEEE Access, 2023 - ieeexplore.ieee.org
… to enable the UAVs utilize the … a UAV swarm-enabled MEC system consisting of a multi-UAV
network and a ground BS-enabled MEC that provides computational support to the UAVs in …

UAV swarm real-time rerouting by edge computing D* lite algorithm

MT Lee, ML Chuang, ST Kuo, YR Chen - Applied Sciences, 2022 - mdpi.com
… aerial vehicles (UAVs) a higher level of autonomous control, this study uses edge computing
systems to replace the ground control station (GCS) commonly used to control UAVs. Since …

Cooperative task offloading in UAV swarm-based edge computing

Y Wang, H Guo, J Liu - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
… high performance of UAV swarm-based edge computing. The … performance of UAV
swarm-based edge computing in this … 1, we consider a UAV swarm-based edge computing system …

Task offloading in uav swarm-based edge computing: Grouping and role division

W Huang, H Guo, J Liu - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
… -hop transmission among UAVs may lead to a … the UAV swarm, design the UAV grouping
strategy is significant. In this paper, the scenario where a UAV swarm provides edge computing

Accurate detection and localization of unmanned aerial vehicle swarms-enabled mobile edge computing system

J Zheng, T Yang, H Liu, T Su… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… ’ characteristic, we propose an accurate detection and localization method for UAV swarms
based on the Dechirp-KT and FS-RWTM. Mathematical analyzes and numerical simulations …

Joint computation offloading and resource allocation in UAV swarms with multi-access edge computing

W Liu, Y Xu, N Qi, K Yao, Y Zhang… - … Conference on Wireless …, 2020 - ieeexplore.ieee.org
… of offloading objects, offloading rate, and channel access in UAV swarm. Considering the
distributed characteristics of UAV swarms, We model UDs’ decisions based on game theory. …

Drone swarm path planning for mobile edge computing in industrial internet of things

Y Miao, K Hwang, D Wu, Y Hao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
UAVs) as mobile edge computing nodes in the air. For the purpose of matching the dynamic
… devices and UAV trajectory, this paper raises a multi-UAVs-assisted mobile edge computing

When UAV swarm meets edge-cloud computing: The QoS perspective

W Chen, B Liu, H Huang, S Guo, Z Zheng - IEEE Network, 2019 - ieeexplore.ieee.org
UAV swarms experience poor network connectivity. In this article, we first propose a novel
UAV-Edge-Cloud computing model for the UAV swarm … First, by using the edge computing, the …