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Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm/ edited by Sheng-Lung Peng, Souvik Pal, Lianfen Huang.
其他作者:	Huang, Lianfen.
面頁冊數:	XXXII, 626 p. 170 illus., 105 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-33596-0
ISBN:	9783030335960

Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm[electronic resource] /edited by Sheng-Lung Peng, Souvik Pal, Lianfen Huang. - 1st ed. 2020. - XXXII, 626 p. 170 illus., 105 illus. in color.online resource. - Intelligent Systems Reference Library,1741868-4394 ;. - Intelligent Systems Reference Library,67.

Internet of Things: Foundation -- A Framework of Learning and Communication with IoT- enabled Ecosystem -- Paradigms for Intelligent IOT Architecture.

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. .

ISBN: 9783030335960

Standard No.: 10.1007/978-3-030-33596-0doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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