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020 _a9789811648311
024 7 _a10.1007/978-981-16-4831-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5103.4835
_b2021 EB
100 1 _aYan, Jing
_9681514
245 1 0 _aLocalization in Underwater Sensor Networks
_cby Jing Yan, Haiyan Zhao, Yuan Meng, Xinping Guan.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publising
_bSpringer International Publising
_c2021.
300 _a1 recurso en línea (XVII, 220 páginas)
_b230 ilustraciones, 81 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aWireless Networks
_x2366-1445
490 0 _aComputer Science (SpringerNature-11645)
490 0 _aComputer Science (R0) (SpringerNature-43710)
505 0 _aChapter 1 Introduction -- Chapter 2 Asynchronous Localization of Underwater Sensor Networks with Mobility Prediction -- Chapter 3 Asynchronous Localization of Underwater Sensor Networks with Consensus-Based Unscented Kalman Filtering -- Chapter 4 Reinforcement Learning Based Asynchronous Localization of Underwater Sensor Networks -- Chapter 5 Privacy Preserving Asynchronous Localization of Underwater Sensor Networks -- Chapter 6 Privacy-Preserving Asynchronous Localization of Underwater Sensor Network with Attack Detection and Ray Compensation -- Chapter 7 Deep Reinforcement Learning Based Privacy-Preserving Localization of Underwater Sensor Networks -- Chapter 8 Conclusion and future perspective.
520 3 _aOcean covers 70.8% of the Earth's surface, and it plays an important role in supporting all life on Earth. Nonetheless, more than 80% of the ocean's volume remains unmapped, unobserved and unexplored. In this regard, Underwater Sensor Networks (USNs), which offer ubiquitous computation, efficient communication and reliable control, are emerging as a promising solution to understand and explore the ocean. In order to support the application of USNs, accurate position information from sensor nodes is required to correctly analyze and interpret the data sampled. However, the openness and weak communication characteristics of USNs make underwater localization much more challenging in comparison to terrestrial sensor networks. In this book, we focus on the localization problem in USNs, taking into account the unique characteristics of the underwater environment. This problem is of considerable importance, since fundamental guidance on the design and analysis of USN localization is very limited at present. To this end, we first introduce the network architecture of USNs and briefly review previous approaches to the localization of USNs. Then, the asynchronous clock, node mobility, stratification effect, privacy preserving and attack detection are considered respectively and corresponding localization schemes are developed. Lastly, the book's rich implications provide guidance on the design of future USN localization schemes. The results in this book reveal from a system perspective that underwater localization accuracy is closely related to the communication protocol and optimization estimator. Researchers, scientists and engineers in the field of USNs can benefit greatly from this book, which provides a wealth of information, useful methods and practical algorithms to help understand and explore the ocean.
988 _aSpringer_Computer_2021
650 7 _2embne
_9138448
_aTelecomunicaciones
700 1 _aZhao, Haiyan
_eautor
_0(orcid)0000-0002-3161-2937
_1https://orcid.org/0000-0002-3161-2937
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMeng, Yuan
_eautor
_0(orcid)0000-0001-6778-6990
_1https://orcid.org/0000-0001-6778-6990
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aGuan, Xinping
_eautor
_0(orcid)0000-0003-1858-8538
_1https://orcid.org/0000-0003-1858-8538
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9789811648304
776 0 8 _iPrinted edition:
_z9789811648328
776 0 8 _iPrinted edition:
_z9789811648335
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-4831-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
_eh
_zSI