Machine Learning Modeling for IoUT Networks - Internet of Underwater Things (Paperback, 1st ed. 2021)

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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). 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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Product Description

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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

SpringerBriefs in Computer Science

Release date

May 2021

Availability

Expected to ship within 10 - 15 working days

First published

2021

Authors

,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

63

Edition

1st ed. 2021

ISBN-13

978-3-03-068566-9

Barcode

9783030685669

Categories

LSN

3-03-068566-7



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