Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks

TL;DR

This study evaluates the performance of underwater diffusion adaptive networks using UVLC, analyzing how environmental factors like turbulence, temperature, and salinity affect network stability and error metrics.

Contribution

It provides a comprehensive simulation and theoretical analysis of UVLC-based diffusion networks considering underwater optical turbulence effects.

Findings

Network effective up to 10 meters distance

Salinity and temperature thresholds for convergence

Performance metrics validated through simulations

Abstract

In this paper, we simulated a diffusion adaptive network in the underwater environment. The communication method between the nodes of this network is assumed to be the visible light communication technology (VLC) which in the underwater condition is known as the UVLC. The links between the nodes in this case are contaminated with the optical noise and turbulence. These contaminations are modeled with the proper statistical distributions depending on the underwater conditions. The optical turbulence modeling link coefficients are shown to be following the Log-normal distribution which its mean and variance are directly dependent on the temperature and the salinity of the simulated water and the assumed distance between the diffusion network nodes. The performance of the diffusion network in using UVLC technology is then analyzed both with simulations and theoretical calculations and the results are presented using the steady-state error metrics. Our analysis showed that the diffusion network can be implemented underwater with the VLC technology providing that the distance between the network nodes is less than 10 meters. Also, in order to guarantee the convergence of the adaptive network, the water salinity level and temperature must not exceed the values that are presented in our simulations.