Machine Learning Paradigm for Internet of Things Applications

12Machine Learning Effects on Underwater Applications and IoUT

Mamta Nain, Nitin Goyal* and Manni Kumar

Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Abstract

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.

Keywords: Internet of Things (IoT), challenges, Internet of Underwater Things (IoUT), sensor, Underwater Wireless Sensor Network (UWSN), machine learning

12.1 Introduction

Internet of Things (IoT) is novel standard that improves the traditional living style and convert it into advanced and technological ...