| 書目名稱 | Fog-Enabled Intelligent IoT Systems | | 編輯 | Yang Yang,Xiliang Luo,Ming-Tuo Zhou | | 視頻video | http://file.papertrans.cn/345/344856/344856.mp4 | | 概述 | 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 tech | | 圖書封面 |  | | 描述 | .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.?.Provides a comprehensive review | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | IoT and Fog Computing; Fog Computing; Intelligent Systems; Fog-enabled systems; Fog-Enabled Intelligent | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-23185-9 | | isbn_softcover | 978-3-030-23187-3 | | isbn_ebook | 978-3-030-23185-9 | | copyright | Springer Nature Switzerland AG 2020 |
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