Machine Learning Modeling for IoUT Networks : Internet of Underwater Things

1st ed. 2021

by Ahmad A. Aziz El-Banna , Kaishun Wu

Book Details

Format Paperback / Softback

Book Series SpringerBriefs in Computer Science

ISBN-10 3030685667

ISBN-13 9783030685669

Edition 1st ed. 2021

Publisher Springer Nature Switzerland AG

Imprint Springer Nature Switzerland AG

Country of Manufacture GB

Country of Publication GB

Publication Date May 30th, 2021

Print length 63 Pages

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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).

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.

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