Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game

Huan Yang; Yangming Guo; Xiaodong Wang; Hongjing Yao; Zhuqing Wang; Geng Li

doi:10.1109/ICIEA48937.2020.9248314

Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game

Huan Yang
, Yangming Guo
, Xiaodong Wang
, Hongjing Yao
, Zhuqing Wang
, Geng Li

School of Cybersecurity

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The reconnaissance or electronic warfare payload UAV swarm with networking and coordination functions are highly autonomous swarm intelligent Cyber-Physical System (CPS). The system core of continuous and effective operation lies in the cooperative work between intelligent entities. In the process of operation, the external interference / hit of the system or the degradation / abnormality of the internal nodes will affect the security, efficiency and reliability of the system. In this paper, the idea of evolutionary game is used to dynamically reconstruct the resources of the degenerating swarm, reconfigure the available resources, to make the swarm reaching an evolutionary stable state in a certain period of time, so as to improve the overall utilization rate of the cluster resources the flexibility of the swarm and the overall performance of the swarm from the system level, and ensuring continually and effectively safe operation of the swarm system.

Original language	English
Title of host publication	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	218-222
Number of pages	5
ISBN (Electronic)	9781728151694
DOIs	https://doi.org/10.1109/ICIEA48937.2020.9248314
State	Published - 9 Nov 2020
Event	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020

Publication series

Name	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Country/Territory	Norway
City	Virtual, Kristiansand
Period	9/11/20 → 13/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Dynamic Reconstruction
Evolutionary Game
Resource
Swarm

Access to Document

10.1109/ICIEA48937.2020.9248314

Cite this

Yang, H., Guo, Y., Wang, X., Yao, H., Wang, Z., & Li, G. (2020). Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 (pp. 218-222). Article 9248314 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA48937.2020.9248314

Yang, Huan ; Guo, Yangming ; Wang, Xiaodong et al. / Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 218-222 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

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title = "Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game",

abstract = "The reconnaissance or electronic warfare payload UAV swarm with networking and coordination functions are highly autonomous swarm intelligent Cyber-Physical System (CPS). The system core of continuous and effective operation lies in the cooperative work between intelligent entities. In the process of operation, the external interference / hit of the system or the degradation / abnormality of the internal nodes will affect the security, efficiency and reliability of the system. In this paper, the idea of evolutionary game is used to dynamically reconstruct the resources of the degenerating swarm, reconfigure the available resources, to make the swarm reaching an evolutionary stable state in a certain period of time, so as to improve the overall utilization rate of the cluster resources the flexibility of the swarm and the overall performance of the swarm from the system level, and ensuring continually and effectively safe operation of the swarm system.",

keywords = "Dynamic Reconstruction, Evolutionary Game, Resource, Swarm",

author = "Huan Yang and Yangming Guo and Xiaodong Wang and Hongjing Yao and Zhuqing Wang and Geng Li",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 ; Conference date: 09-11-2020 Through 13-11-2020",

year = "2020",

month = nov,

day = "9",

doi = "10.1109/ICIEA48937.2020.9248314",

language = "英语",

series = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

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}

Yang, H, Guo, Y, Wang, X, Yao, H, Wang, Z & Li, G 2020, Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game. in Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020., 9248314, Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 218-222, 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, Virtual, Kristiansand, Norway, 9/11/20. https://doi.org/10.1109/ICIEA48937.2020.9248314

Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game. / Yang, Huan; Guo, Yangming; Wang, Xiaodong et al.
Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 218-222 9248314 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game

AU - Yang, Huan

AU - Guo, Yangming

AU - Wang, Xiaodong

AU - Yao, Hongjing

AU - Wang, Zhuqing

AU - Li, Geng

PY - 2020/11/9

Y1 - 2020/11/9

N2 - The reconnaissance or electronic warfare payload UAV swarm with networking and coordination functions are highly autonomous swarm intelligent Cyber-Physical System (CPS). The system core of continuous and effective operation lies in the cooperative work between intelligent entities. In the process of operation, the external interference / hit of the system or the degradation / abnormality of the internal nodes will affect the security, efficiency and reliability of the system. In this paper, the idea of evolutionary game is used to dynamically reconstruct the resources of the degenerating swarm, reconfigure the available resources, to make the swarm reaching an evolutionary stable state in a certain period of time, so as to improve the overall utilization rate of the cluster resources the flexibility of the swarm and the overall performance of the swarm from the system level, and ensuring continually and effectively safe operation of the swarm system.

AB - The reconnaissance or electronic warfare payload UAV swarm with networking and coordination functions are highly autonomous swarm intelligent Cyber-Physical System (CPS). The system core of continuous and effective operation lies in the cooperative work between intelligent entities. In the process of operation, the external interference / hit of the system or the degradation / abnormality of the internal nodes will affect the security, efficiency and reliability of the system. In this paper, the idea of evolutionary game is used to dynamically reconstruct the resources of the degenerating swarm, reconfigure the available resources, to make the swarm reaching an evolutionary stable state in a certain period of time, so as to improve the overall utilization rate of the cluster resources the flexibility of the swarm and the overall performance of the swarm from the system level, and ensuring continually and effectively safe operation of the swarm system.

KW - Dynamic Reconstruction

KW - Evolutionary Game

KW - Resource

KW - Swarm

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ER -

Yang H, Guo Y, Wang X, Yao H, Wang Z, Li G. Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 218-222. 9248314. (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). doi: 10.1109/ICIEA48937.2020.9248314

Research on Task-Oriented Dynamic Reconstruction Method of UAV Swarm Evolutionary Game

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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