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Machine Learning Modeling for IoUT Networks : Internet of Underwater Things / by Ahmad A. Aziz El-Banna, Kaishun Wu.
- Format:
- Book
- Author/Creator:
- Aziz El-Banna, Ahmad A., Author.
- Wu, Kaishun, Author.
- Series:
- Computer Science (SpringerNature-11645)
- SpringerBriefs in computer science 2191-5776
- SpringerBriefs in Computer Science, 2191-5776
- Language:
- English
- Subjects (All):
- Telecommunication.
- Automatic control.
- Robotics.
- Automation.
- Artificial intelligence.
- Communications Engineering, Networks.
- Control, Robotics, Automation.
- Artificial Intelligence.
- Local Subjects:
- Communications Engineering, Networks.
- Control, Robotics, Automation.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (XII, 63 pages) : 32 illustrations, 24 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Introduction
- Seawater's Key Physical Variables
- Opportunistic Transmission
- Localization and Positioning
- ML Modeling for Underwater Communication
- Open Challenges
- Conclusion.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-68567-6
- 9783030685676
- Access Restriction:
- Restricted for use by site license.
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