TY - GEN
T1 - Research on Robotic Fish Swarm Network Technology Based on Underwater Acoustic Communication
AU - Wang, Hanyue
AU - Gao, Zihan
AU - Li, Bohan
AU - Gao, Nansha
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Ocean area accounts for more than 70% of the total area of the earth, and underwater space is complex. The ocean study, in aquaculture, resource exploration, and military aspect is of great significance. According to the length to width ratio of crucian carp, this paper designs a robotic fish that integrated control system and underwater acoustic communication machine. Then the essay constructs a multi-level marine Internet of Things based on the robotic fish. Besides, the marine Internet of Things includes three-dimensional network topology, and compose of bionic robotic fish with positioning and underwater communication functions. The study of robotic fish and marine Internet of Things are to better observe marine life and seabed space, reduce the cost of manual detection, and improve the ocean observation efficiency.
AB - Ocean area accounts for more than 70% of the total area of the earth, and underwater space is complex. The ocean study, in aquaculture, resource exploration, and military aspect is of great significance. According to the length to width ratio of crucian carp, this paper designs a robotic fish that integrated control system and underwater acoustic communication machine. Then the essay constructs a multi-level marine Internet of Things based on the robotic fish. Besides, the marine Internet of Things includes three-dimensional network topology, and compose of bionic robotic fish with positioning and underwater communication functions. The study of robotic fish and marine Internet of Things are to better observe marine life and seabed space, reduce the cost of manual detection, and improve the ocean observation efficiency.
KW - marine Internet of things
KW - network topology
KW - underwater acoustic communication system
UR - http://www.scopus.com/inward/record.url?scp=85174404248&partnerID=8YFLogxK
U2 - 10.1109/ICIPCA59209.2023.10257934
DO - 10.1109/ICIPCA59209.2023.10257934
M3 - 会议稿件
AN - SCOPUS:85174404248
T3 - 2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023
SP - 475
EP - 479
BT - 2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023
Y2 - 11 August 2023 through 13 August 2023
ER -
