LEADER 04357nam 22006255 450 001 9910366587103321 005 20200706165940.0 010 $a3-030-23185-2 024 7 $a10.1007/978-3-030-23185-9 035 $a(CKB)4100000009590264 035 $a(MiAaPQ)EBC5946182 035 $a(DE-He213)978-3-030-23185-9 035 $a(EXLCZ)994100000009590264 100 $a20191016d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFog-Enabled Intelligent IoT Systems /$fby Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (230 pages) $cillustrations 311 $a3-030-23184-4 327 $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. 330 $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. 606 $aElectrical engineering 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aApplication software 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 615 0$aElectrical engineering. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aApplication software. 615 14$aCommunications Engineering, Networks. 615 24$aSignal, Image and Speech Processing. 615 24$aInformation Systems Applications (incl. Internet). 676 $a004.678 676 $a004.6782 700 $aYang$b Yang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0710870 702 $aLuo$b Xiliang$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChu$b Xiaoli$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhou$b Ming-Tuo$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366587103321 996 $aFog-Enabled Intelligent IoT Systems$92499653 997 $aUNINA