Machine Learning Modeling for IoUT Networks - Ahmad A. Aziz El-Banna, Kaishun Wu

Machine Learning Modeling for IoUT Networks

Internet of Underwater Things
Buch | Softcover
XII, 63 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-68566-9 (ISBN)
53,49 inkl. MwSt
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.

lt;b>Ahmad A. Aziz El-Banna received his Master's degree in 2011 from Benha University and his Ph.D in 2014 from Egypt-Japan University of Science & Technology. Since June 2018, he has been a postdoctoral fellow at Shenzhen University, China. He also holds the position of an assistant professor at Benha University, Egypt. He served as a visiting researcher at Osaka University at Japan (2013-2014). His research interests include cooperative networking, MIMO, space-time coding, IoT, machine learning, and underwater communication.

 

Kaishun Wu received the Ph.D. degree in computer science and engineering from HKUST in 2011. After that, he worked as a Research Assistant Professor with HKUST. In 2013, he joined SZU as a Distinguished Professor. He has coauthored two books and published over 100 high quality research articles in international leading journals and primer conferences, such as IEEE TMC, IEEE TPDS, ACM MobiCom, and IEEE INFOCOM. He is also the inventor of 6 U.S. and over 90 Chinese pending patents. He is a fellow of IET. He received the 2012 Hong Kong Young Scientist Award and the 2014 Hong Kong ICT Awards: Best Innovation and 2014 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award.

Introduction.- Seawater's Key Physical Variables.- Opportunistic Transmission.- Localization and Positioning.- ML Modeling for Underwater Communication.- Open Challenges.- Conclusion.

Erscheinungsdatum
Reihe/Serie SpringerBriefs in Computer Science
Zusatzinfo XII, 63 p. 32 illus., 24 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 130 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Internet of underwater things • underwater channel modeling • underwater communication • underwater localization • underwater positioning • underwater sensor networks
ISBN-10 3-030-68566-7 / 3030685667
ISBN-13 978-3-030-68566-9 / 9783030685669
Zustand Neuware
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