ORIGINAL RESEARCH article
Front. Phys.
Sec. Social Physics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1634359
Computing Offloading in Hierarchical Aerial Computing Based on Matching Games
Provisionally accepted
- 1University of Science and Technology Beijing, Beijing, China
- 2North University of China, Taiyuan, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
In unmanned aerial vehicle (UAV) networks, efficient and reliable cooperation among UAVs is crucial for enabling UAV-assisted internet of things (IoT) services. In this paper, we consider a hierarchical aerial computing framework composed of multiple UAVs that assume different network roles based on their capabilities, providing data collection and computation services for diverse IoT applications. We then formulate a task offloading problem subject to delay and resource constraints, taking into account the service revenue requirements and computational demands of different UAVs. The problem aims to meet the service demands of UAVs while satisfying multiple constraints related to task delay and resource availability, resulting in an integer programming problem that is challenging to solve. Considering the complexity of exhaustive search, we propose a matching game-based solution algorithm to obtain the optimal task offloading decision among UAVs and prove that the algorithm is stable. Simulation results show that the algorithm proposed in this paper outperforms the benchmark scheme in terms of service benefits.
Keywords: hierarchical aerial computing, match game, UAV, Task offloading, Edge computing
Received: 24 May 2025; Accepted: 21 Aug 2025.
Copyright: © 2025 Lyu, Li and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ting Lyu, University of Science and Technology Beijing, Beijing, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.