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.