Abstarct: In this dissertation, we examine the benefits and problems of implementing underwater adaptive networks using the Visible Light Communication (VLC) technology. The VLC technology, which is one of the newest methods of data transmission, is one of the methods that can be very useful in implementing an adaptive network and by considering the wide range of applications, because this technology has many advantages, including Lack of harm to human and animal health, high data transfer speed and free bandwidth, resistance to interference, etc. Optical telecommunications is always plagued by noise and channel disturbances, and the impact of these two factors on the performance of broadcast networks should be considered. The distance between the nodes and the water specifications in which the network is implemented, such as temperature and salt concentration, are effective in determining the amount of light disturbances. According to experiments obtained at distances below 20 m and temperatures between 1 and 20 ℃, the coefficients of the underwater VLC channel follow the Log-normal distribution with values of different parameters. Examining the performance of the network and the theory theoretically and simulating according to these channel conditions can be an important step in the implementation of these networks for underwater applications. In order to evaluate the performance of underwater diffusion network with VLC technology, a diffusion network with 20 nodes and underwater environment conditions was simulated by MATLB software and the results were obtained during several experiments in different underwater channel conditions. The results showed that the effect of salinity and water temperature on network performance under normal conditions is not very noticeable and which indicates an estimation error of about 0.001 but the effect of distance between network nodes in underwater conditions on its performance is very significant that indicates an increase in the estimation error to 0.1.