Paper
28 July 2023 A clustering directional underwater acoustic network communication method
Yangyang Ji, Hao Cui, Xiaodong Gong, Xiuhui Ni, Yongxiang Meng
Author Affiliations +
Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 127161W (2023) https://doi.org/10.1117/12.2685623
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China
Abstract
With the rapid development of wireless network technology, modern land and sky have formed a huge communication network. However, in the marine environment, network communication is still at a low level. With the economic globalization, the demand for the exploration of marine resources is increasing, and the country is also increasing the research on underwater acoustic communication and data transmission technology. The underwater acoustic network transmits data through acoustic signals, and the speed of sound is usually 1500m/s , which is about 5 orders of magnitude lower than the propagation speed of radio waves (3×10 8 m/s). In the underwater acoustic channel, the signal is also affected by background noise, temperature, salinity and Doppler effect, which makes the utilization of channel resources low, resulting in long delay, low signal-to-noise ratio and low throughput of underwater acoustic communication. Therefore, it is very important to design a reliable, efficient, and low-latency underwater acoustic network communication method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yangyang Ji, Hao Cui, Xiaodong Gong, Xiuhui Ni, and Yongxiang Meng "A clustering directional underwater acoustic network communication method", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 127161W (28 July 2023); https://doi.org/10.1117/12.2685623
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KEYWORDS
Acoustics

Data transmission

Signal to noise ratio

Transducers

Signal attenuation

Background noise

Data communications

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