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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Wireless Networks |
Release date: |
June 2023 |
First published: |
2023 |
Authors: |
Haipeng Yao
• Mohsen Guizani
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
405 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-126986-8 |
Categories: |
Books
|
LSN: |
3-03-126986-1 |
Barcode: |
9783031269868 |
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