000 | 04127nam a22005535i 4500 | ||
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001 | 978-3-030-23185-9 | ||
003 | DE-He213 | ||
005 | 20220801213821.0 | ||
007 | cr nn 008mamaa | ||
008 | 191016s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030231859 _9978-3-030-23185-9 |
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024 | 7 |
_a10.1007/978-3-030-23185-9 _2doi |
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050 | 4 | _aTK5101-5105.9 | |
072 | 7 |
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_aTEC041000 _2bisacsh |
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_aTJK _2thema |
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_a621.382 _223 |
100 | 1 |
_aYang, Yang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934544 |
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245 | 1 | 0 |
_aFog-Enabled Intelligent IoT Systems _h[electronic resource] / _cby Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aXVIII, 217 p. 72 illus., 58 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- IoT technologies and applications -- Fog computing architecture and technologies -- Challenges and solutions for cross-domain applications -- Fog-enabled intelligent transportation system -- Fog-enabled smart home and user behavior recognition -- Fog-enabled industrial 4.0 -- Fog-enabled wireless network self-optimization -- Conclusion. | |
520 | _aThis book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, two fog-enabled frameworks with detailed technical approaches are proposed for realistic application scenarios with no or limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on these fog-enabled frameworks, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as Intelligent Transportation System, Smart Home, Industrial 4.0, Wireless Network Self-Optimization, and User Behavior Recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized in terms of service flexibility, scalability, quality, maintainability, cost efficiency, as well as latency. Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services Presents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledge Outlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services. | ||
650 | 0 |
_aTelecommunication. _910437 |
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650 | 0 |
_aSignal processing. _94052 |
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650 | 0 |
_aApplication software. _934545 |
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650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aSignal, Speech and Image Processing . _931566 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _934546 |
700 | 1 |
_aLuo, Xiliang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934547 |
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700 | 1 |
_aChu, Xiaoli. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934548 |
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700 | 1 |
_aZhou, Ming-Tuo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _934549 |
|
710 | 2 |
_aSpringerLink (Online service) _934550 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030231842 |
776 | 0 | 8 |
_iPrinted edition: _z9783030231866 |
776 | 0 | 8 |
_iPrinted edition: _z9783030231873 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-23185-9 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c75630 _d75630 |