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Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks

Publish Year: 1399
Type: Journal paper
Language: English
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Document National Code:

JR_JCESH-9-2_004

Index date: 15 March 2022

Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks 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.

Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks Keywords:

Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks authors

Hosein Abdavinejad

Dept. electrical engineering, Urmia University, Urmia, Iran.

Hadi Baghali

Dept. electrical engineering, Urmia University, Urmia, Iran.

Javad Ostadieh

Department of electrical engineering, Urmia University, Urmia, Iran.

Ehsan Mostafapour

Urmia University

Changiz Ghobadi

Department of Electrical and Computer Engineering Urmia University, Urmia, Iran

Javad Nourinia

Department of Electrical and Computer Engineering Urmia University, Urmia, Iran