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
N1 - Publisher Copyright:
© 2023 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85169465754&partnerID=8YFLogxK
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 -
