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100 1 _aLiu, Meiqin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aUnderwater Information Perception and Processing Via Underwater Sensor Networks
_h[electronic resource] /
_cby Meiqin Liu, Ronghao Zheng, Senlin Zhang.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 391 p. 236 illus., 220 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aUnderwater 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.
520 _aThis 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. .
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aSignal processing.
650 0 _aEmbedded computer systems.
650 0 _aElectronics.
650 0 _aCooperating objects (Computer systems).
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 1 4 _aComputational Intelligence.
650 2 4 _aSignal, Speech and Image Processing.
650 2 4 _aEmbedded Systems.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aControl, Robotics, Automation.
700 1 _aZheng, Ronghao.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZhang, Senlin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819746682
776 0 8 _iPrinted edition:
_z9789819746705
776 0 8 _iPrinted edition:
_z9789819746712
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-4669-9
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c276829
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