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Designing an Adaptive Underwater Visible Light Communication System.

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  • 1School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), Curtin University, Kent Street, Bentley, WA 6102, Australia.

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Summary
This summary is machine-generated.

Researchers developed a smart transceiver for underwater optical communication using light fidelity (Li-Fi) and software-defined radio (SDR). This system dynamically adjusts the optical beam, improving data transmission reliability and efficiency in the Internet of Underwater Things (IoUT).

Keywords:
Li-Fibit error ratepowerpulse position modulationsoftware-defined radiounderwater visible light communication

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Area of Science:

  • Underwater optical communication
  • Internet of Underwater Things (IoUT)

Background:

  • Seventy percent of Earth's surface is water, necessitating reliable underwater communication for IoUT.
  • Optical waves offer high data rates and bandwidth efficiency in the visible spectrum (400-700 nm) but face challenges like limited range, path loss, and turbulence, resulting in low signal-to-noise ratio (SNR).

Purpose of the Study:

  • To design and implement a smart transceiver for robust and efficient bidirectional underwater optical communication.
  • To enhance real-time data transmission in IoUT by dynamically adapting communication parameters.

Main Methods:

  • Developed a bidirectional communication system integrating a light fidelity (Li-Fi) transmitter/receiver with a 470 nm blue-light-emitting diode (LED) and a software-defined radio (SDR).
  • Implemented a dynamic adaptation mechanism using a servo motor and Arduino microcontroller to adjust the optical beam's divergence angle based on received signal power.
  • Utilized pulse position modulation (PPM) for real-time data transmission.

Main Results:

  • The integrated Li-Fi and SDR system demonstrated increased throughput.
  • The dynamic beam angle adjustment significantly enhanced system robustness and efficiency.
  • Pulse position modulation proved effective for real-time underwater optical data transmission.

Conclusions:

  • The smart transceiver design effectively addresses challenges in underwater optical communication.
  • Dynamic adaptation of the optical beam divergence angle is a key innovation for improving IoUT communication.
  • The integration of Li-Fi, SDR, and adaptive control offers a promising solution for reliable and efficient underwater data transmission.