Future Optimization Algorithm to Estimate Attenuation in 532 nm Laser Beam of UWOC-Channel: Improved Neural Network Model

Underwater Optical Wireless Communication (UWOC) becomes an emerging underwater communication technology, with high-data rates over relatively medium transmission ranges. When optical wireless signal transmitted in ocean water channel, it will suffer from drastic scattering and absorption due to molecules, dissolved particles, air bubbles, turbulence. Absorption of the channel led attenuation power. is aggregate of` different parameters effects that changed frequently, then practical measuring this complicated, difficult, expensive, time-consuming process. In work, improved neural network optimized future search algorithm (FANN) was proposed, as efficacious solution obtain accurate, relabel values coefficient types conditions. The proposed FANN model provides a good much results measured values. performance evaluated using mean square error (MSE), root (RMSE) absolute (MAE) indices. errors obtained by had been calculated its are very acceptable which lie lower than 10-4. shows excellent indicate superior model.