Machine Learning Modeling for IoUT Networks
Author | : Ahmad A. Aziz El-Banna |
Publisher | : Springer Nature |
Total Pages | : 71 |
Release | : 2021-05-29 |
ISBN-10 | : 9783030685676 |
ISBN-13 | : 3030685675 |
Rating | : 4/5 (675 Downloads) |
Download or read book Machine Learning Modeling for IoUT Networks written by Ahmad A. Aziz El-Banna and published by Springer Nature. This book was released on 2021-05-29 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.