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| Artikel-Nr.: 858A-9783030231873 Herst.-Nr.: 9783030231873 EAN/GTIN: 9783030231873 |
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![](/p.gif) | 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, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Yang Yang; Xiliang Luo; Xiaoli Chu; Ming-Tuo Zhou | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: allgemeine technikbücher - englischsprachig, IoTandFogComputing; FogComputing; IntelligentSystems; Fog-enabledsystems; Fog-EnabledIntelligentIoTSystems; Fog-enabledapplications; Data-drivenself-learningapplications, IoT and Fog Computing, Fog Computing, Intelligent Systems, Fog-enabled systems, Fog-Enabled Intelligent IoT Systems, Fog-enabled applications, Data-driven self-learning applications |
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