Title of article :
Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks
Author/Authors :
Abdavinejad, Hossein Dept. Electrical Engineering - Urmia University, Urmia, Iran , Baghali, Hadi Dept. Electrical Engineering - Urmia University, Urmia, Iran , Ostadieh, Javad Dept. Electrical Engineering - Urmia University, Urmia, Iran , Mostafapour, Ehsan Dept. Electrical Engineering - Urmia University, Urmia, Iran , Ghobadi, Changiz Dept. Electrical Engineering - Urmia University, Urmia, Iran , Nourinia, Javad Dept. Electrical Engineering - Urmia University, Urmia, Iran
Pages :
16
From page :
226
To page :
241
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.
Keywords :
Diffusion adaptation , Visible light communication , Underwater , Optical turbulence , Log-normal distribution , Convergence , Steady-State
Journal title :
Journal of Communication Engineering
Serial Year :
2020
Record number :
2703824
Link To Document :
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