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AI in Telecommunications: Comparing Machine Learning Models for VLC


AI in Telecommunications: Comparing Machine Learning Models for VLC

Machine Learning vs. Traditional VLC

In the quest for reliable underwater data, researchers are pivoting from simple On-Off Keying (OOK) to advanced Artificial Intelligence. But which model wins?

Performance Benchmark: Intelligent-VLC

Recent studies show that Intelligent-VLC, an ML-assisted detection system, outperforms traditional methods by nearly 20% in noisy environments.

99.8%

Accuracy

0.981

F1-Score

96.1%

Precision

Comparing the Architectures

  • DC-VLC: Uses Deep Neural Networks to handle signal noise.
  • GOA-VLC: Uses the Grasshopper Optimization Algorithm for dynamic routing.
  • OOK: The legacy standard (Simple but fragile).

The conclusion is clear: The integration of feature extraction and intelligent signal detection is the only way to reach 99.9% reliability in turbid harbor waters.

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