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000923037 019__ $$a1125995961
000923037 020__ $$a9783030231859$$q(electronic book)
000923037 020__ $$a3030231852$$q(electronic book)
000923037 020__ $$z9783030231842
000923037 0247_ $$a10.1007/978-3-030-23185-9$$2doi
000923037 0247_ $$a10.1007/978-3-030-23
000923037 035__ $$aSP(OCoLC)on1124768140
000923037 035__ $$aSP(OCoLC)1124768140$$z(OCoLC)1125995961
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000923037 049__ $$aISEA
000923037 050_4 $$aQA76.585$$b.Y36 2020eb
000923037 08204 $$a004.67/82$$223
000923037 1001_ $$aYang, Yang,$$eauthor.
000923037 24510 $$aFog-enabled intelligent IoT systems /$$cYang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou.
000923037 264_1 $$aCham :$$bSpringer,$$c[2020]
000923037 264_4 $$c©2020
000923037 300__ $$a1 online resource :$$billustrations
000923037 336__ $$atext$$btxt$$2rdacontent
000923037 337__ $$acomputer$$bc$$2rdamedia
000923037 338__ $$aonline resource$$bcr$$2rdacarrier
000923037 504__ $$aIncludes bibliographical references and index.
000923037 5050_ $$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.
000923037 506__ $$aAccess limited to authorized users.
000923037 520__ $$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.
000923037 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 22, 2019).
000923037 650_0 $$aInternet of things.
000923037 650_0 $$aCloud computing.
000923037 650_0 $$aIntelligent agents (Computer software)
000923037 7001_ $$aLuo, Xiliang,$$eauthor.
000923037 7001_ $$aChu, Xiaoli,$$eauthor.
000923037 7001_ $$aZhou, Ming-Tuo,$$eauthor.
000923037 852__ $$bebk
000923037 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-23185-9$$zOnline Access$$91397441.1
000923037 909CO $$ooai:library.usi.edu:923037$$pGLOBAL_SET
000923037 980__ $$aEBOOK
000923037 980__ $$aBIB
000923037 982__ $$aEbook
000923037 983__ $$aOnline
000923037 994__ $$a92$$bISE