Machine Learning Modeling for IoUT Networks

Internet of Underwater Things

Ahmad A. Aziz El-Banna, Kaishun Wu (Autoren)

Buch | Softcover

XII, 63 Seiten

2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-68566-9 (ISBN)

Artikel merken

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	01.06.2021
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