Monte Carlo Simulation of Underwater Optical Communication System with Optimized Coefficients

High-speed data transmission in challenging aquatic environments may be possible with underwater optical communication (UWOC) systems. Nonetheless, displaying light proliferation submerged is complicated because of dissipating, retention, and other water-explicit properties. In this paper, we present a novel methodology that propels conventional Monte Carlo simulation procedures to work on both adaptiveness and effectiveness in UWOC framework simulation. Our work presents a more sensible photon communication model that adjusts to various water types, like clear sea, beach front waters with turbid conditions, by consolidating wavelength-dependent scattering and attenuation effects. Polarization effects, which have an effect on how light behaves in these underwater channels, are also taken into account. Not at all like earlier examinations, the proposed simulation is validated utilizing real time information, prompting more down to earth and solid outcomes. We introduce an adaptive optimization algorithm that automatically adjusts the communication parameters in real time to make the simulation even more effective. This permits the framework to limit the bit error rate (BER), guaranteeing ideal execution under changing circumstances. Furthermore, by consolidating machine learning procedures, we can anticipate the best correspondence boundaries without expecting to run broad reproductions for each new situation. The system becomes more responsive as a result. The proposed methodology propels the UWOC frameworks by giving an adaptable and strong structure equipped for taking care of the remarkable difficulties of various aquatic conditions.