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Titlebook: Intelligent Internet of Things Networks; Haipeng Yao,Mohsen Guizani Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 18:47:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Internet of Things Networks
編輯Haipeng Yao,Mohsen Guizani
視頻videohttp://file.papertrans.cn/470/469783/469783.mp4
概述Presents an overview of‘Internet of Things Network and Machine Learning as well as emerging network technologies.New intelligent Internet of Things network architecture introduces and applies machine
叢書名稱Wireless Networks
圖書封面Titlebook: Intelligent Internet of Things Networks;  Haipeng Yao,Mohsen Guizani Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu
描述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 thatare 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-
出版日期Book 2023
關(guān)鍵詞Internet of Things; Machine Learning; Mobile Edge Computing; Blockchain; Programmable Network; Reinforcem
版次1
doihttps://doi.org/10.1007/978-3-031-26987-5
isbn_softcover978-3-031-26989-9
isbn_ebook978-3-031-26987-5Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:06:13 | 只看該作者
Haipeng Yao,Mohsen Guizanih?ftigt. Dieser hatte sich ein Jahr zuvor in Paris ereignet und war nun vor dem Gericht in Form eines Miniaturmodells nachgestellt worden, um die Kausalit?t der Ereignisfolge zu rekonstruieren. Spielzeugh?user, ein Spielzeuglastwagen, ein Miniaturkinderwagen und ein Satz kleiner Figuren bildeten das
板凳
發(fā)表于 2025-3-22 01:21:17 | 只看該作者
地板
發(fā)表于 2025-3-22 06:38:54 | 只看該作者
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發(fā)表于 2025-3-22 12:06:08 | 只看該作者
Introduction,nternet of Things, an extension of the Internet. Through sensor equipment and the agreed protocol, any item is connected to the Internet for information exchange and communication, so as to realize intelligent identification, monitoring, and management. The combination of machine learning and the In
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發(fā)表于 2025-3-22 13:20:15 | 只看該作者
Intelligent Internet of Things Networking Architecture,nds on the performance, reliability, and security of IoT networks are higher than ever. Current end-host-based or centralized control frameworks generate excessive computational and communication overhead, and the dynamic response of IoT networks is sluggish and clumsy. Recently, with the advancemen
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發(fā)表于 2025-3-22 18:35:04 | 只看該作者
Intelligent IoT Network Awareness,es will generate traffic with different characteristics and put forward different business requirements. The application based on network intelligent awareness plays a key role in effectively managing network and deepening the control of network. In this chapter, we propose an end-to-end IoT traffic
8#
發(fā)表于 2025-3-22 22:28:04 | 只看該作者
Intelligent Traffic Control,lutions to this problem rely heavily on manual processes. In order to solve this problem, in this chapter, we apply several artificial intelligence approaches to network traffic control. First, we introduce a social-based mechanism in the routing design of delay-tolerant network (DTN) and propose a
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發(fā)表于 2025-3-23 02:50:33 | 只看該作者
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發(fā)表于 2025-3-23 09:26:51 | 只看該作者
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