Reliable distributed computing for metaverse: A hierarchical game-theoretic approach

Y Jiang, J Kang, D Niyato, X Ge, Z **ong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The metaverse is regarded as a new wave of technological transformation that provides a
virtual space for people to interact through digital avatars. To achieve immersive user …

Unmanned aerial vehicles for air pollution monitoring: A survey

NH Motlagh, P Kortoçi, X Su, L Lovén… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving

Y Hui, X Ma, Z Su, N Cheng, Z Yin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …

Dynamic mission planning algorithm for UAV formation in battlefield environment

J Zhang, Y Cui, J Ren - IEEE Transactions on Aerospace and …, 2022 - ieeexplore.ieee.org
The limited time duration and spatial instability of TSTs increase the difficulty of mission
planning for unmanned aerial vehicle (UAV) formations, which in turn affects the task …

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
The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …

[HTML][HTML] Distributed dynamic task allocation for unmanned aerial vehicle swarm systems: A networked evolutionary game-theoretic approach

Z Zhang, J Jiang, XU Haiyan, WA Zhang - Chinese Journal of Aeronautics, 2024 - Elsevier
Task allocation is a key aspect of Unmanned Aerial Vehicle (UAV) swarm collaborative
operations. With an continuous increase of UAVs' scale and the complexity and uncertainty …

Offloading decision and resource allocation in aerial computing: A comprehensive survey

A Nabi, S Moh - Computer Science Review, 2025 - Elsevier
Aerial computing can facilitate the successful execution of tasks, ensuring low latency for
Internet of things (IoT) devices. It gains greater significance and practicality by offering both …

Autonomous cooperative flocking for heterogeneous unmanned aerial vehicle group

J Wu, Y Yu, J Ma, J Wu, G Han, J Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multi-UAV is a complete system represented by multiple unmanned aerial vehicles (UAV)
through collaborative technology. Besides, the UAV group has the advantages in the …

Joint optimization of trajectory and user association via reinforcement learning for UAV-aided data collection in wireless networks

G Chen, XB Zhai, C Li - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) can be used as aerial base stations for data collection in
next-generation wireless networks due to their high adaptability and maneuverability. This …

Joint computation offloading, role, and location selection in hierarchical multicoalition UAV MEC networks: A Stackelberg game learning approach

Q Wu, J Chen, Y Xu, N Qi, T Fang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Recently, the development of unmanned aerial vehicle (UAV) mobile-edge computing
(MEC) networks has brought unprecedented gains and opportunities. In this article, the joint …