Machine Learning Modeling for IoUT Networks e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 chall...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
29 maj 2021
Genrer
Automatic control engineering
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783030685676
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.