Underwater Information Perception and Processing Via Underwater Sensor Networks - Hardcover

Liu, Meiqin; Zhang, Senlin; Zheng, Ronghao

Hardcover

ISBN 10: 981974668X ISBN 13: 9789819746682

Verlag: Springer-Verlag GmbH, 2024

Inhaltsangabe

This book highlights the latest advances and trends in information perception and processing of underwater sensor networks (USNs). Underwater sensor networks are networks of autonomous sensor nodes distributed over a given region of water to collaboratively perform a given task. Nearly 70% of the Earth's surface is covered by water, mainly oceans, and more than 80% of the ocean remains unexplored. The emergence of USNs is a new direction in ocean exploration and data collection. USNs offer many applications in both civilian and non-civilian fields. However, due to the characteristics of underwater environments, USNs face challenges such as limited bandwidth, high propagation delay, media access control, routing, resource utilization, power limitation, etc. Researchers have studied and provided many techniques over the past decades to address these issues.

This book systematically summarizes the development and covers a wide range of applications of USNs, including mobile node localization, target detection, target recognition, target tracking, sensor scheduling, and environmental monitoring. It also focuses on the introduction of new technologies, including deep reinforcement learning, into underwater information perception and processing.

This book is suitable for university lecturers, graduate students, and industry professionals working in the field of USNs. 

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Über die Autorin bzw. den Autor

Meiqin Liu received the B.E. and Ph.D. degrees in control theory and control engineering from Central South University, Changsha, China, in 1994 and 1999, respectively. She was Post-Doctoral Research Fellow with the Huazhong University of Science and Technology, Wuhan, China, from 1999 to 2001. She was Visiting Scholar with the University of New Orleans, New Orleans, LA, USA, from 2008 to 2009. She was Professor at the College of Electrical Engineering, Zhejiang University, Hangzhou, China, from 2001 to 2021. She is currently Professor with the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China, and also at the College of Electrical Engineering, Zhejiang University, Hangzhou, China. She has authored more than 200 papers in major journals and international conferences. She has led 16 national or provincial or ministerial projects in the last five years, including nine projects funded by the National Natural Science Foundation of China (NSFC).

Ronghao Zheng received his bachelor’s degree in Electrical Engineering and master’s degree in Control Theory and Control Engineering both from Zhejiang University, China in 2007 and 2010, respectively. He received his Ph.D. degree from the Department of Mechanical and Biomedical Engineering, City University of Hong Kong in 2014. He is currently with the Department of Systems Science and Engineering, Zhejiang University, China. His research interests lie in the area of distributed algorithms and control, particularly the coordination of networked mobile robot teams with applications in automated systems and security.

Senlin Zhang received the B.E. degree in control theory and control engineering from the Wuhan University of Technology, Wuhan, China, and the M.E. degree in control theory and control engineering from Zhejiang University, Hangzhou, China, in 1984 and 1991, respectively. He is currently a Professor with the State Key Laboratory of Industrial Control Technology and the College of Electrical Engineering, Zhejiang University, Hangzhou, China. He has authored more than 200 papers in major journals and international conferences. His current research interests include unmanned undersea systems, intelligent systems, and multi-sensor networks.

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This book highlights the latest advances and trends in information perception and processing of underwater sensor networks (USNs). Underwater sensor networks are networks of autonomous sensor nodes distributed over a given region of water to collaboratively perform a given task. Nearly 70% of the Earth's surface is covered by water, mainly oceans, and more than 80% of the ocean remains unexplored. The emergence of USNs is a new direction in ocean exploration and data collection. USNs offer many applications in both civilian and non-civilian fields. However, due to the characteristics of underwater environments, USNs face challenges such as limited bandwidth, high propagation delay, media access control, routing, resource utilization, power limitation, etc. Researchers have studied and provided many techniques over the past decades to address these issues.

This book systematically summarizes the development and covers a wide range of applications of USNs, including mobile node localization, target detection, target recognition, target tracking, sensor scheduling, and environmental monitoring. It also focuses on the introduction of new technologies, including deep reinforcement learning, into underwater information perception and processing.

This book is suitable for university lecturers, graduate students, and industry professionals working in the field of USNs. 

 

Details zur Ausgabe

• Verlag: Springer-Verlag GmbH
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 981974668X
• ISBN 13: 9789819746682
• Einband: Tapa dura
• Anzahl der Seiten: 412
• Kontakt zum Hersteller: ROXIO; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; 22391; Deutschland