Optimal Pinning Strategy of Drone Swarms

Jinhao Zhou; Lei Chen; Kexin Liu; Dezhi Zheng; Gaoxiang Liu

doi:10.1109/ICUS55513.2022.9987213

Optimal Pinning Strategy of Drone Swarms

Jinhao Zhou, Lei Chen^*, Kexin Liu, Dezhi Zheng, Gaoxiang Liu

^*Corresponding author for this work

Advanced Research Institute of Multidisciplinary Science

Beihang University

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

Abstract

Regulating a large-scale drone swarm from an external command is investigated in this paper. A pinning framework of large-scale drone swarm is proposed. Based on the synchronized region of a drone swarm, an analytical approach is carried out to select driver drones via using eigenratio of Laplacian matrix as an index. Theoretic and simulation results are presented to show the effectiveness of our methods.

Original language	English
Title of host publication	Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022
Editors	Rong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	436-441
Number of pages	6
ISBN (Electronic)	9781665484565
DOIs	https://doi.org/10.1109/ICUS55513.2022.9987213
Publication status	Published - 2022
Event	2022 IEEE International Conference on Unmanned Systems, ICUS 2022 - Guangzhou, China Duration: 28 Oct 2022 → 30 Oct 2022

Publication series

Name	Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022

Conference

Conference	2022 IEEE International Conference on Unmanned Systems, ICUS 2022
Country/Territory	China
City	Guangzhou
Period	28/10/22 → 30/10/22

Keywords

drone swarm
optimal driver selection
pinning control
self-organized

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10.1109/ICUS55513.2022.9987213

Cite this

Zhou, J., Chen, L., Liu, K., Zheng, D., & Liu, G. (2022). Optimal Pinning Strategy of Drone Swarms. In R. Song (Ed.), Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022 (pp. 436-441). (Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS55513.2022.9987213

@inproceedings{abf581dbb8f6415b8f890db6dbc31f30,

title = "Optimal Pinning Strategy of Drone Swarms",

abstract = "Regulating a large-scale drone swarm from an external command is investigated in this paper. A pinning framework of large-scale drone swarm is proposed. Based on the synchronized region of a drone swarm, an analytical approach is carried out to select driver drones via using eigenratio of Laplacian matrix as an index. Theoretic and simulation results are presented to show the effectiveness of our methods.",

keywords = "drone swarm, optimal driver selection, pinning control, self-organized",

author = "Jinhao Zhou and Lei Chen and Kexin Liu and Dezhi Zheng and Gaoxiang Liu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Unmanned Systems, ICUS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",

year = "2022",

doi = "10.1109/ICUS55513.2022.9987213",

language = "English",

series = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "436--441",

editor = "Rong Song",

booktitle = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",

address = "United States",

}

Zhou, J, Chen, L, Liu, K, Zheng, D & Liu, G 2022, Optimal Pinning Strategy of Drone Swarms. in R Song (ed.), Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022. Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 436-441, 2022 IEEE International Conference on Unmanned Systems, ICUS 2022, Guangzhou, China, 28/10/22. https://doi.org/10.1109/ICUS55513.2022.9987213

Optimal Pinning Strategy of Drone Swarms. / Zhou, Jinhao; Chen, Lei; Liu, Kexin et al.
Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022. ed. / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2022. p. 436-441 (Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022).

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

TY - GEN

T1 - Optimal Pinning Strategy of Drone Swarms

AU - Zhou, Jinhao

AU - Chen, Lei

AU - Liu, Kexin

AU - Zheng, Dezhi

AU - Liu, Gaoxiang

PY - 2022

Y1 - 2022

N2 - Regulating a large-scale drone swarm from an external command is investigated in this paper. A pinning framework of large-scale drone swarm is proposed. Based on the synchronized region of a drone swarm, an analytical approach is carried out to select driver drones via using eigenratio of Laplacian matrix as an index. Theoretic and simulation results are presented to show the effectiveness of our methods.

AB - Regulating a large-scale drone swarm from an external command is investigated in this paper. A pinning framework of large-scale drone swarm is proposed. Based on the synchronized region of a drone swarm, an analytical approach is carried out to select driver drones via using eigenratio of Laplacian matrix as an index. Theoretic and simulation results are presented to show the effectiveness of our methods.

KW - drone swarm

KW - optimal driver selection

KW - pinning control

KW - self-organized

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DO - 10.1109/ICUS55513.2022.9987213

M3 - Conference contribution

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T3 - Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022

SP - 436

EP - 441

BT - Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022

A2 - Song, Rong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Unmanned Systems, ICUS 2022

Y2 - 28 October 2022 through 30 October 2022

ER -

Zhou J, Chen L, Liu K, Zheng D, Liu G. Optimal Pinning Strategy of Drone Swarms. In Song R, editor, Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 436-441. (Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022). doi: 10.1109/ICUS55513.2022.9987213

Optimal Pinning Strategy of Drone Swarms

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