TY  - BOOK
AU  - Liu,Meiqin
AU  - Zheng,Ronghao
AU  - Zhang,Senlin
ED  - SpringerLink (Online service)
TI  - Underwater Information Perception and Processing Via Underwater Sensor Networks
SN  - 9789819746699
AV  - Q342 
U1  - 006.3 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computational intelligence
KW  - Signal processing
KW  - Embedded computer systems
KW  - Electronics
KW  - Cooperating objects (Computer systems)
KW  - Control engineering
KW  - Robotics
KW  - Automation
KW  - Computational Intelligence
KW  - Signal, Speech and Image Processing
KW  - Embedded Systems
KW  - Electronics and Microelectronics, Instrumentation
KW  - Cyber-Physical Systems
KW  - Control, Robotics, Automation
N1  - Underwater Sensor Networks(USNs) -- Mobile Nodes localization in USNs -- Underwater targets detection and DOA estimation via the USNs -- Underwater Target Recognition via the USNs -- Multi-node Cooperative Target Tracking via USNs -- Energy-efficient Sensor Scheduling Method for Target Tracking in USNs -- Underwater Environment Monitoring Using USNs
N2  - 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.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-4669-9
ER  -