Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm
Editors: Peng, Sheng-Lung, Pal, Souvik, Huang, Lianfen (Eds.)
Free Preview- Covers a wide range of IoT-enabled technologies
- Presents both basics and high-level concepts
- Serves as a guide for industry practitioners as well as beginners in the field
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- About this book
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This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners.
The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies.
The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems.
Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.
- Table of contents (24 chapters)
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Internet of Things: Foundation
Pages 3-33
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A Framework of Learning and Communication with IoT-Enabled Ecosystem
Pages 35-65
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Paradigms for Intelligent IOT Architecture
Pages 67-100
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Semantics and Clustering Techniques for IoT Sensor Data Analysis: A Comprehensive Survey
Pages 103-125
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IoT Sensing Capabilities: Sensor Deployment and Node Discovery, Wearable Sensors, Wireless Body Area Network (WBAN), Data Acquisition
Pages 127-151
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Table of contents (24 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm
- Editors
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- Sheng-Lung Peng
- Souvik Pal
- Lianfen Huang
- Series Title
- Intelligent Systems Reference Library
- Series Volume
- 174
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-33596-0
- DOI
- 10.1007/978-3-030-33596-0
- Hardcover ISBN
- 978-3-030-33595-3
- Softcover ISBN
- 978-3-030-33598-4
- Series ISSN
- 1868-4394
- Edition Number
- 1
- Number of Pages
- XXXII, 626
- Number of Illustrations
- 65 b/w illustrations, 105 illustrations in colour
- Topics
