Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms

Ranzhen Ren; Lichuan Zhang; Lu Liu; Guang Pan; Qiaogao Huang; Yi Chen

doi:10.1109/CACRE58689.2023.10208954

Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms

Ranzhen Ren
, Lichuan Zhang
, Lu Liu
, Guang Pan
, Qiaogao Huang
, Yi Chen

航海学院

Northwestern Polytechnical University Xian
Polytechnical University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

The unmanned underwater platform cluster is suitable for tasks such as marine environmental monitoring, offshore exploration, and military tactical reconnaissance. The performance of an unmanned underwater platform cluster for cooperative sensing depends on the deployment of unmanned platforms and the sensing performance of a single-platform. In this paper, a hybrid heuristic algorithm for cooperative deployment planning of underwater unmanned cluster is proposed and verified by establishing a single-platform detection probability model based on the Boolean model considering the fault tolerance radius. The simulation results show that the proposed algorithm can effectively improve the cooperative observation probability of the surveillance area, because the rapid signal fading of the single-platform detection probability model seriously affects the efficiency of cooperative detection. The optimal coverage rate can reach 79.55% under certain conditions.

源语言	英语
主期刊名	Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023
编辑	Fumin Zhang, Lichuan Zhang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	300-306
页数	7
ISBN（电子版）	9798350302776
DOI	https://doi.org/10.1109/CACRE58689.2023.10208954
出版状态	已出版 - 2023
活动	8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023 - Hong Kong, 中国期限: 13 7月 2023 → 15 7月 2023

出版系列

姓名	Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023

会议

会议	8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023
国家/地区	中国
市	Hong Kong
时期	13/07/23 → 15/07/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 14 水下生物

访问文件

10.1109/CACRE58689.2023.10208954

其它文件与链接

链接到 Scopus 的出版物

引用此

Ren, R., Zhang, L., Liu, L., Pan, G., Huang, Q., & Chen, Y. (2023). Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms. 在 F. Zhang, & L. Zhang (编辑), Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023 (页码 300-306). (Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CACRE58689.2023.10208954

Ren, Ranzhen ; Zhang, Lichuan ; Liu, Lu 等. / Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms. Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. 编辑 / Fumin Zhang ; Lichuan Zhang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 300-306 (Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023).

@inproceedings{15c84de966204849bc12f1a34548115e,

title = "Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms",

abstract = "The unmanned underwater platform cluster is suitable for tasks such as marine environmental monitoring, offshore exploration, and military tactical reconnaissance. The performance of an unmanned underwater platform cluster for cooperative sensing depends on the deployment of unmanned platforms and the sensing performance of a single-platform. In this paper, a hybrid heuristic algorithm for cooperative deployment planning of underwater unmanned cluster is proposed and verified by establishing a single-platform detection probability model based on the Boolean model considering the fault tolerance radius. The simulation results show that the proposed algorithm can effectively improve the cooperative observation probability of the surveillance area, because the rapid signal fading of the single-platform detection probability model seriously affects the efficiency of cooperative detection. The optimal coverage rate can reach 79.55\% under certain conditions.",

keywords = "Cooperative deployment planning, Hybrid heuristic algorithm, Single-platform detection probability model, Underwater unmanned cluster",

author = "Ranzhen Ren and Lichuan Zhang and Lu Liu and Guang Pan and Qiaogao Huang and Yi Chen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023 ; Conference date: 13-07-2023 Through 15-07-2023",

year = "2023",

doi = "10.1109/CACRE58689.2023.10208954",

language = "英语",

series = "Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023",

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

pages = "300--306",

editor = "Fumin Zhang and Lichuan Zhang",

booktitle = "Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023",

}

Ren, R, Zhang, L, Liu, L, Pan, G , Huang, Q & Chen, Y 2023, Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms. 在 F Zhang & L Zhang (编辑), Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023, Institute of Electrical and Electronics Engineers Inc., 页码 300-306, 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023, Hong Kong, 中国, 13/07/23. https://doi.org/10.1109/CACRE58689.2023.10208954

Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms. / Ren, Ranzhen; Zhang, Lichuan; Liu, Lu 等.
Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. 编辑 / Fumin Zhang; Lichuan Zhang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 300-306 (Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms

AU - Ren, Ranzhen

AU - Zhang, Lichuan

AU - Liu, Lu

AU - Pan, Guang

AU - Huang, Qiaogao

AU - Chen, Yi

PY - 2023

Y1 - 2023

N2 - The unmanned underwater platform cluster is suitable for tasks such as marine environmental monitoring, offshore exploration, and military tactical reconnaissance. The performance of an unmanned underwater platform cluster for cooperative sensing depends on the deployment of unmanned platforms and the sensing performance of a single-platform. In this paper, a hybrid heuristic algorithm for cooperative deployment planning of underwater unmanned cluster is proposed and verified by establishing a single-platform detection probability model based on the Boolean model considering the fault tolerance radius. The simulation results show that the proposed algorithm can effectively improve the cooperative observation probability of the surveillance area, because the rapid signal fading of the single-platform detection probability model seriously affects the efficiency of cooperative detection. The optimal coverage rate can reach 79.55% under certain conditions.

AB - The unmanned underwater platform cluster is suitable for tasks such as marine environmental monitoring, offshore exploration, and military tactical reconnaissance. The performance of an unmanned underwater platform cluster for cooperative sensing depends on the deployment of unmanned platforms and the sensing performance of a single-platform. In this paper, a hybrid heuristic algorithm for cooperative deployment planning of underwater unmanned cluster is proposed and verified by establishing a single-platform detection probability model based on the Boolean model considering the fault tolerance radius. The simulation results show that the proposed algorithm can effectively improve the cooperative observation probability of the surveillance area, because the rapid signal fading of the single-platform detection probability model seriously affects the efficiency of cooperative detection. The optimal coverage rate can reach 79.55% under certain conditions.

KW - Cooperative deployment planning

KW - Hybrid heuristic algorithm

KW - Single-platform detection probability model

KW - Underwater unmanned cluster

UR - https://www.scopus.com/pages/publications/85169465754

U2 - 10.1109/CACRE58689.2023.10208954

DO - 10.1109/CACRE58689.2023.10208954

M3 - 会议稿件

AN - SCOPUS:85169465754

T3 - Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023

SP - 300

EP - 306

BT - Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023

A2 - Zhang, Fumin

A2 - Zhang, Lichuan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023

Y2 - 13 July 2023 through 15 July 2023

ER -

Ren R, Zhang L, Liu L, Pan G , Huang Q, Chen Y. Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms. 在 Zhang F, Zhang L, 编辑, Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 300-306. (Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023). doi: 10.1109/CACRE58689.2023.10208954

Cooperative Deployment Planning of Underwater Unmanned Clusters Based on Hybrid Heuristic Algorithms

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此