Machine Learning Effects on Underwater Applications and IoUT

Summary

The Internet of Underwater Things (IoUT) is the system of intelligent linked underwater things and a diverse kind of Internet of Things (IoT). IoUT is expected to permit different practicable requests, similar to ecological monitor, underwater examination, and calamity prohibition. With these uses, IoUT is considered as unique of the likely technology around developed intelligent towns. UWSN network system is favorable in the evolution of IoUT. In UWSN, many challenges exist that will be big challenge in evolution of IoUT. In this book chapter, basic concepts about the IoUT are presented like architecture, challenges, and application areas. UWSN and IoUT collectively help in many application areas like weather forecasting and monitoring. This chapter also presents introduction about new advance technology machine learning. How this helps in improving the application areas of underwater environment. Machine learning can also be used to explore minerals that exist below the water.