04357nam 22006255 450 991036658710332120200706165940.03-030-23185-210.1007/978-3-030-23185-9(CKB)4100000009590264(MiAaPQ)EBC5946182(DE-He213)978-3-030-23185-9(EXLCZ)99410000000959026420191016d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFog-Enabled Intelligent IoT Systems /by Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (230 pages) illustrations3-030-23184-4 Introduction -- 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.This 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.Electrical engineeringSignal processingImage processingSpeech processing systemsApplication softwareCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Electrical engineering.Signal processing.Image processing.Speech processing systems.Application software.Communications Engineering, Networks.Signal, Image and Speech Processing.Information Systems Applications (incl. Internet).004.678004.6782Yang Yangauthttp://id.loc.gov/vocabulary/relators/aut710870Luo Xiliangauthttp://id.loc.gov/vocabulary/relators/autChu Xiaoliauthttp://id.loc.gov/vocabulary/relators/autZhou Ming-Tuoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910366587103321Fog-Enabled Intelligent IoT Systems2499653UNINA