04220nam a22006375i 4500 978-981-97-4669-9 DE-He213 20251030113313.0 cr nn 008mamaa 241115s2024 si | s |||| 0|eng d 9789819746699 978-981-97-4669-9 10.1007/978-981-97-4669-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Liu, Meiqin. author. aut http://id.loc.gov/vocabulary/relators/aut 87549 Underwater Information Perception and Processing Via Underwater Sensor Networks [electronic resource] / by Meiqin Liu, Ronghao Zheng, Senlin Zhang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 391 p. 236 illus., 220 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. . Computational intelligence. 64052 Signal processing. Embedded computer systems. 64625 Electronics. 65899 Cooperating objects (Computer systems). 64303 Control engineering. Robotics. 59148 Automation. 59149 Computational Intelligence. 64052 Signal, Speech and Image Processing. Embedded Systems. Electronics and Microelectronics, Instrumentation. 65902 Cyber-Physical Systems. 65638 Control, Robotics, Automation. Zheng, Ronghao. author. aut http://id.loc.gov/vocabulary/relators/aut 87550 Zhang, Senlin. author. aut http://id.loc.gov/vocabulary/relators/aut 87551 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819746682 Printed edition: 9789819746705 Printed edition: 9789819746712 https://doi.org/10.1007/978-981-97-4669-9 ZDB-2-INR ZDB-2-SXIT 64970 64970