This paper investigates the optimization problem of task allocation for multi-UAV cooperation in the repair of Internet of Things (IoT) devices. By introducing a game-theoretic model and evolutionary game strategies, the paper addresses task conflicts and allocation efficiency among UAVs. The model comprehensively considers the priorities of devices, the computational resource demands of devices, as well as the computational capacity and locations of UAVs, and designs a dynamic task allocation mechanism. Simulation experiments demonstrate that the proposed method exhibits good task allocation efficiency and system stability in multi-task environments, while ensuring balanced task distribution and efficient resource utilization.
Large-Scale IoT Devices Repair Tasks Based on Online Task Offloading
Mo Wang,Ying Weng,Tianyu Gong,Fengjuan Xu,Yun Li,Fu Wang
Published 2025 in Chinese Control and Decision Conference
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
Chinese Control and Decision Conference
- Publication date
2025-05-16
- Fields of study
Not labeled
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-15 of 15 references · Page 1 of 1
CITED BY
- No citing papers are available for this paper.
Showing 0-0 of 0 citing papers · Page 1 of 1