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yao h guizani m intelligent internet things networks 2023

Type:: E-books
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Size:: 14.5 MB
Uploaded On:: June 12, 2023, 8:18 p.m.
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Info Hash:: FF6D3472475AAECE5E1A9E0E84A23AEDBB312510

Textbook in PDF format Presents an overview of Internet of Things Network and Machine Learning as well as emerging network technologies. This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different Machine Learning approaches to investigate solutions. It discusses how Machine Learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well. The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book. Introduction Intelligent Internet of Things Networking Architecture Intelligent IoT Network Awareness Intelligent Traffic Control Intelligent Resource Scheduling Mobile Edge Computing Enabled Intelligent IoT Blockchain-Enabled Intelligent IoT Conclusions and Future Challenges

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Yao H., Guizani M. Intelligent Internet of Things Networks 2023.pdf 14.5 MB

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yao h guizani m intelligent internet things networks 2023

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