Underwater Visible Light Communication and Path Selection Algorithm Design
Year: 2026
Type: article
Abstract: With the increasing demand for marine development and intelligent monitoring, underwater information transmission technologies characterized by high bandwidth, low latency, and strong anti-interference capabilities are becoming increasingly important. Underwater visible light communication (UVLC), with its advantages of high bandwidth, strong directionality, low power consumption, and absence of electromagnetic interference, is considered a highly promising underwater communication method. However, it still faces many challenges in real marine environments, such as signal absorption and scattering, fluctuations caused by turbulence and particle disturbances, and link mismatch due to environmental changes. Therefore, achieving intelligent communication and monitoring early warning in complex and dynamic waters has become a key issue. This paper, targeting dynamic underwater monitoring environments prone to link degradation, designs and implements an integrated intelligent underwater visible light communication monitoring system and path selection scheme. The core innovation lies in introducing chaotic systems and multi-physics coupling into channel modeling and path optimization, significantly improving the system's robustness and adaptability under multi-disturbance monitoring conditions, and enhancing path reliability in harsh environments. Experimental results demonstrate that the proposed monitoring channel model exhibits significantly superior performance to traditional models in predicting power attenuation and pulse broadening. Under the condition of a specific bit error rate (BER), the system can stably maintain a high link switching success rate with the aid of the chaotic optimization mechanism, while keeping the response time below the set threshold. This fully verifies that the system possesses excellent reliability and stability in complex underwater monitoring environments.
DOI: 10.61784/jcsee3113
Authors: ZhenHan Xu, Lei Guo, XiangYu Liu
Institution: Shenyang Ligong University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7127040804