Collective Behavior Regulation in Drone Swarms via Pinning Strategies

Gaoxiang Liu; Kexin Liu; Lei Chen

doi:10.1007/978-981-97-3336-1_38

Collective Behavior Regulation in Drone Swarms via Pinning Strategies

Gaoxiang Liu^*, Kexin Liu, Lei Chen

^*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

In this paper, we discuss the collective behavior of drone swarms and remark that the swarm behavior can be realized by pinning a few nodes. Additionally, the selection of pinning nodes effects the global characteristic. Compared with other methods, the uniform degree selection of pinning nodes in a swarm exhibits better performance. In order to verify the effectiveness of our pinning strategy, we conduct simulations in a self-driven drone swarm, in which the experimental results confirm the availability of our conclusion.

Original language	English
Title of host publication	Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies
Editors	Xiaoduo Li, Xun Song, Yingjiang Zhou
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	444-454
Number of pages	11
ISBN (Print)	9789819733354
DOIs	https://doi.org/10.1007/978-981-97-3336-1_38
Publication status	Published - 2024
Event	7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 - Nanjing, China Duration: 24 Nov 2023 → 27 Nov 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1207 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
Country/Territory	China
City	Nanjing
Period	24/11/23 → 27/11/23

Keywords

collective behavior
drone swarms
pinning control
pinning strategies design
self-driven system

Access to Document

10.1007/978-981-97-3336-1_38

Cite this

Liu, G., Liu, K., & Chen, L. (2024). Collective Behavior Regulation in Drone Swarms via Pinning Strategies. In X. Li, X. Song, & Y. Zhou (Eds.), Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies (pp. 444-454). (Lecture Notes in Electrical Engineering; Vol. 1207 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-3336-1_38

Liu, Gaoxiang ; Liu, Kexin ; Chen, Lei. / Collective Behavior Regulation in Drone Swarms via Pinning Strategies. Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies. editor / Xiaoduo Li ; Xun Song ; Yingjiang Zhou. Springer Science and Business Media Deutschland GmbH, 2024. pp. 444-454 (Lecture Notes in Electrical Engineering).

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title = "Collective Behavior Regulation in Drone Swarms via Pinning Strategies",

abstract = "In this paper, we discuss the collective behavior of drone swarms and remark that the swarm behavior can be realized by pinning a few nodes. Additionally, the selection of pinning nodes effects the global characteristic. Compared with other methods, the uniform degree selection of pinning nodes in a swarm exhibits better performance. In order to verify the effectiveness of our pinning strategy, we conduct simulations in a self-driven drone swarm, in which the experimental results confirm the availability of our conclusion.",

keywords = "collective behavior, drone swarms, pinning control, pinning strategies design, self-driven system",

author = "Gaoxiang Liu and Kexin Liu and Lei Chen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 ; Conference date: 24-11-2023 Through 27-11-2023",

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Liu, G, Liu, K & Chen, L 2024, Collective Behavior Regulation in Drone Swarms via Pinning Strategies. in X Li, X Song & Y Zhou (eds), Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies. Lecture Notes in Electrical Engineering, vol. 1207 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 444-454, 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023, Nanjing, China, 24/11/23. https://doi.org/10.1007/978-981-97-3336-1_38

Collective Behavior Regulation in Drone Swarms via Pinning Strategies. / Liu, Gaoxiang; Liu, Kexin; Chen, Lei.
Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies. ed. / Xiaoduo Li; Xun Song; Yingjiang Zhou. Springer Science and Business Media Deutschland GmbH, 2024. p. 444-454 (Lecture Notes in Electrical Engineering; Vol. 1207 LNEE).

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

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PY - 2024

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AB - In this paper, we discuss the collective behavior of drone swarms and remark that the swarm behavior can be realized by pinning a few nodes. Additionally, the selection of pinning nodes effects the global characteristic. Compared with other methods, the uniform degree selection of pinning nodes in a swarm exhibits better performance. In order to verify the effectiveness of our pinning strategy, we conduct simulations in a self-driven drone swarm, in which the experimental results confirm the availability of our conclusion.

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Liu G, Liu K, Chen L. Collective Behavior Regulation in Drone Swarms via Pinning Strategies. In Li X, Song X, Zhou Y, editors, Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies. Springer Science and Business Media Deutschland GmbH. 2024. p. 444-454. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-3336-1_38