Principles of Internet of Things (IoT) Ecosystem : insight paradigm /

Principles of Internet of Things (IoT) Ecosystem : insight paradigm /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2020]
©2020
Description:1 online resource (xxxii, 626 pages) : illustrations.
Language:English
Series:Intelligent Systems Reference Library ; v. 174
Intelligent systems reference library ; v. 174.
Subject:
Internet of things.
Internet of things.
Electronic books
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12602541
Hidden Bibliographic Details
Other authors / contributors:Peng, Sheng-Lung, editor.
Pal, Souvik, editor.
Huang, Lianfen, editor.
ISBN:9783030335960
3030335968
9783030335953
303033595X
Notes:Includes bibliographical references.
Online access available only to subscribers.
Print version record.
Online resource; title from PDF title page (Ebook Central, viewed March 10, 2021).
Summary: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.
Other form:Print version: Peng, Sheng-Lung. Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Cham : Springer, ©2020 9783030335953
Standard no.:10.1007/978-3-030-33
Table of Contents:
  • Intro; Preface; About This Book; Key Features; Contents; About the Editors; IoT Foundation and Framework; 1 Internet of Things: Foundation; Abstract; 1.1 Introduction; 1.2 Background; 1.3 Architectural Formation and Communication Models; 1.3.1 Architecture Formation; 1.3.2 Communication Models; 1.4 IoT Key Elements, the 3C Concept-Advantages, Disadvantages; 1.4.1 IoT Key Elements; 1.4.2 The 3C IoT Concept; 1.4.3 Advantages; 1.4.4 Disadvantages; 1.5 Internet of Things Technologies; 1.5.1 RFID Technology; 1.5.2 Wireless Sensor Network Transportation; 1.5.3 Cloud Computing; 1.5.4 Big Data
  • 1.5.5 Middleware1.5.6 IoT Application Software; 1.6 Applications of IoT; 1.6.1 Smart Society; 1.6.2 Traffic Management; 1.6.3 Link Data for Society; 1.6.4 Urban Management; 1.6.5 Road Quality Monitoring; 1.6.6 Smart Cities; 1.6.7 Healthcare; 1.6.8 Retail and Logistics; 1.6.9 Security and Emergency; 1.6.10 Smart Agriculture and Smart Water Supply; 1.6.11 Aviation and Aerospace; 1.6.12 Environmental Monitoring; 1.6.13 Media and Entertainment; 1.6.14 Recycling; 1.6.15 Transportation; 1.6.16 Manufacturing; 1.6.17 Pharmaceutical; 1.6.18 Auto-motive; 1.7 Testing Models of IoT
  • 1.7.1 Testing Levels and Methods1.7.2 Generic Testing Schemes; 1.7.3 Testing the Internet of Things; 1.7.4 IoT Test-Bed; 1.8 IoT Frameworks; 1.8.1 AVIoT; 1.8.2 AllJon; 1.8.3 Calvin Framework; 1.8.4 Frasad; 1.8.5 Eclipse Smart-Home (ESH) Framework; 1.9 Security Issues in IoT; 1.10 Internet of Things Simulators; 1.11 Open Research Challenges; References; 2 A Framework of Learning and Communication with IoT-Enabled Ecosystem; Abstract; 2.1 Introduction; 2.2 Intelligent Solution for Traffic: Prior Work; 2.3 IoT Based Smart Traffic Management; 2.4 Implementation of IoT Drone Platform
  • 2.5 Communication in IoT Ecosystem2.5.1 Communication Stack for IoT Network; 2.5.2 Binary View of Coverage and Services; 2.6 IoT Integrated with AI; 2.6.1 IoT Activation and Tagging; 2.7 IoT and Environment; 2.8 IoT in Extreme Communication; 2.9 IoT Enabled Energy System: Set-up and Performance; 2.9.1 Energy-Efficient Communication in IoT Network; 2.10 Conclusion; Acknowledgements; References; 3 Paradigms for Intelligent IOT Architecture; Abstract; 3.1 Introduction; 3.1.1 Introduction to IOT Architecture; 3.1.2 Conceptual Framework; 3.2 Multi Layer IOT Architectures
  • 3.3 Overview of Various IOT Architectures3.3.1 Edge Computing Architecture and System Design; 3.3.2 Generalized Cloud-Based Architecture; 3.3.3 Fog-Based Architecture; 3.3.4 Distributed Search Architecture Versus Cloud and Edge Computing Features; 3.3.5 Fog Versus Cloud Based Architecture; 3.4 IOT Deployment Using Fog; 3.5 Ideal IOT Architecture for Smart Applications; 3.5.1 Edge Layer; 3.5.2 Fog Layer; 3.5.3 Data Collection and Analysis Layer; 3.5.4 Insight Layer; 3.5.5 Central Cloud Layer; 3.6 Intelligent Agent Based Computing; 3.6.1 Agent Communication System; 3.6.2 Agent Architecture
  • 3.6.3 Multi-agent Systems.

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