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NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm
Joint Authors
Wang, Rui
Zhu, Xiaomin
Chen, Chao
Bao, Weidong
Men, Tong
Wang, Ji
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The advancement of UAV technology makes the use of UAVs more and more widespread, and the swarm is the main mode of UAV applications owing to its robustness and adaptability.
Meanwhile, task allocation plays an essential role in a swarm to obtain overall high performance and unleash the potential of each UAVs owing to the complexity of the large-scale swarm.
In this paper, we pay attention to the real-time allocation problem of dynamic tasks.
We design models for the task assigning problem to construct the constraints model and assigning objectives.
In addition, we introduce a novel agent-based allocating mechanism based on the auction process, including the design for three kinds of agents and the cooperation mechanism among different agents.
Moreover, we proposed a new algorithm to calculate the bidding values of UAVs, by which the messages passed between UAVs can be reduced.
On the basis of the assigning mechanism, we put up with a novel agent-based real-time task allocation algorithm named NECTAR for dynamic tasks in the UAV swarm.
Furthermore, we conduct extensive experiments to evaluate the performance of our NECTAR, and the results indicate that NECTAR is able to solve the real-time task allocation for dynamic tasks and achieve high performance of the UAV swarm.
American Psychological Association (APA)
Chen, Chao& Bao, Weidong& Men, Tong& Zhu, Xiaomin& Wang, Ji& Wang, Rui. 2020. NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143333
Modern Language Association (MLA)
Chen, Chao…[et al.]. NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1143333
American Medical Association (AMA)
Chen, Chao& Bao, Weidong& Men, Tong& Zhu, Xiaomin& Wang, Ji& Wang, Rui. NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143333