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

School of Marine Science and Technology

Northwestern Polytechnical University Xian
Polytechnical University

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

3 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023
Editors	Fumin Zhang, Lichuan Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	300-306
Number of pages	7
ISBN (Electronic)	9798350302776
DOIs	https://doi.org/10.1109/CACRE58689.2023.10208954
State	Published - 2023
Event	8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023 - Hong Kong, China Duration: 13 Jul 2023 → 15 Jul 2023

Publication series

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

Conference

Conference	8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023
Country/Territory	China
City	Hong Kong
Period	13/07/23 → 15/07/23

UN SDGs

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

SDG 14 Life Below Water

Keywords

Cooperative deployment planning
Hybrid heuristic algorithm
Single-platform detection probability model
Underwater unmanned cluster

Access to Document

10.1109/CACRE58689.2023.10208954

Cite this

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. In F. Zhang, & L. Zhang (Eds.), Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023 (pp. 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 et al. / 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. editor / Fumin Zhang ; Lichuan Zhang. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 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. in F Zhang & L Zhang (eds), 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., pp. 300-306, 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023, Hong Kong, China, 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 et al.
Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. ed. / Fumin Zhang; Lichuan Zhang. Institute of Electrical and Electronics Engineers Inc., 2023. p. 300-306 (Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023).

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

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. In Zhang F, Zhang L, editors, Proceedings - 2023 8th International Conference on Automation, Control and Robotics Engineering, CACRE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 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

Abstract

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UN SDGs

Keywords

Access to Document

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