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INTERNET OF THINGS AND DATA ANALYTICS HANDBOOK
Título:
INTERNET OF THINGS AND DATA ANALYTICS HANDBOOK
Subtítulo:
Autor:
GENG, H
Editorial:
JOHN WILEY
Año de edición:
2017
Materia
INTERNET GENERAL
ISBN:
978-1-119-17364-9
Páginas:
800
150,00 €

 

Sinopsis

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book:

Examines cloud computing, data analytics, and sustainability and how they relate to IoT
overs the scope of consumer, government, and enterprise applications
Includes best practices, business model, and real-world case studies
Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).



Table of Contents



List of Contributors xix

Foreword xxiii

Preface xxvii

Acknowledgments xxix

Part I INTERNET OF THINGS 1

1 Internet of Things and Data Analytics in the Cloud with Innovation and Sustainability 3
Hwaiyu Geng

1.1 Introduction 3

1.2 The IoT and the Fourth Industrial Revolution 4

1.3 Internet of Things Technology 6

1.4 Standards and Protocols 11

1.5 IoT Ecosystem 11

1.6 Definition of Big Data 13

1.7 IoT, Data Analytics, and Cloud Computing 18

1.8 Creativity, Invention, Innovation, and Disruptive Innovation 18

1.9 Polya's "How to Solve itö 20

1.10 Business Plan and Business Model 20

1.11 Conclusion and Future Perspectives 23

2 Digital Services and Sustainable Solutions 29
Rikke Gram-Hansen

2.1 Introduction 29

2.2 Why IoT is not Just "Nice to Haveö 30

2.3 Services in a Digital Revolution 32

2.4 Mobile Digital Services and the Human Sensor 32

2.5 Not Just Another App 33

2.6 The Hidden Life of Things 34

2.7 The Umbrellas are not what they Seem 35

2.8 Interacting with the Invisible 36

2.9 Society as Open Source 36

2.10 Learn from your Hackers 37

2.11 Ensuring High-Quality Services to Citizens 37

2.12 Government as a Platform 38

2.13 Conclusion 38

3 The Industrial Internet of Things (Iiot): Applications and Taxonomy 41
Stan Schneider

3.1 Introduction to the IioT 41

3.2 Some Examples of Iiot Applications 43

3.3 Toward a Taxonomy of the Iiot 52

3.4 Standards and Protocols for Connectivity 66

3.5 Connectivity Architecture for the Iiot 73

3.6 Data-Centricity Makes Dds Different 79

3.7 The Future of the Iiot 80

4 Strategic Planning for Smarter Cities 83
Jonathan Reichental

4.1 Introduction 83

4.2 What is a Smart City? 84

4.3 Smart Cities and the Internet of Things 85

4.4 Why Strategic Planning Matters 86

4.5 Beginning the Journey: First Things First 87

4.6 From Vision to Objectives to Execution 89

4.7 Pulling it all Together 91

5 Next-Generation Learning: Smart Medical Team Training 95
Brenda Bannan, Shane Gallagher and Bridget Lewis

5.1 Introduction 95

5.2 Learning, Analytics, and Internet of Things 96

5.3 IoT Learning Design Process 98

5.4 Conclusion 103

6 The Brain-Computer Interface in the Internet of Things 107
Jim McKeeth

6.1 Introduction 107

6.2 The Science Behind Reading the Brain 109

6.3 The Science of Writing to the Brain 112

6.4 The Human Connectome Project 113

6.5 Consumer Electroencephalography Devices 113

6.6 Summary 115

7 Iot Innovation Pulse 119
John Mattison

7.1 The Convergence of Exponential Technologies as a Driver of Innovation 119

7.2 Six Dimensions of the Plecosystem 119

7.3 Five Principles of the Plecosystem 120

7.4 The Biologic Organism Analogy for the IoT 121

7.5 Components for Innovation with the Organismal Analog 122

7.6 Spinozan Value Trade-Offs 123

7.7 Human IoT Sensor Networks 123

7.8 Role of the IoT in Social Networks 124

7.9 Security and Cyberthreat Resilience 124

7.10 IoT Optimization for Sustainability of our Planet 124

7.11 Maintenance of Complex IoT Networks 125

7.12 The Accordion Model of Learning as a Source of Innovation 126

7.13 Summary 126

Part II INTERNET OF THINGS TECHNOLOGIES 129

8 Internet of Things Open-Source Systems 131
Scott Amyx

8.1 Introduction 131

8.2 Background of Open Source 131

8.3 Drivers for Open Source 132

8.4 Benefits of Using Open Source 132

8.5 IoT Open-Source Consortiums and Projects 134

8.6 Finding the Right Open-Source Project for the Job 137

8.7 Conclusion 143

9 MEMS: An Enabling Technology for the Internet of Things (IoT) 147
Michael A. Huff

9.1 The Ability to Sense, Actuate, and Control 148

9.2 What are MEMS? 150

9.3 MEMS as an Enabling Technology for the IoT 153

9.4 MEMS Manufacturing Techniques 155

9.5 Examples of MEMS Sensors 158

9.6 Example of MEMS Actuator 163

9.7 The Future of MEMS for the IoT 163

9.8 Conclusion 165

10 Electro-Optical Infrared Sensor Technologies for the Internet of Things 167
Venkataraman Sundareswaran, Henry Yuan, Kai Song, Joseph Kimchi and Jih-Fen Lei

10.1 Introduction 167

10.2 Sensor Anatomy and Technologies 169

10.3 Design Considerations 176

10.4 Applications 179

10.5 Conclusion 184

11 Ipv6 for IoT and Gateway 187
Geoff Mulligan

11.1 Introduction 187

11.2 Ip: The Internet Protocol 187

11.3 IPv6: The Next Internet Protocol 189

11.4 6LoWPAN: Ip for IoT 191

11.5 Gateways: A Bad Choice 191

11.6 Example IoT Systems 192

11.7 An IoT Data Model 194

11.8 The Problem of Data Ownership 194

11.9 Managing the Life of an IoT Device 195

11.10 Conclusion: Looking forward 195

12 Wireless Sensor Networks 197
David Y. Fong

12.1 Introduction 197

12.2 Characteristics of Wireless Sensor Networks 198

12.3 Distributed Computing 201

12.4 Parallel Computing 202

12.5 Self-Organizing Networks 205

12.6 Operating Systems for Sensor Networks 206

12.7 Web of Things (WoT) 207

12.8 Wireless Sensor Network Architecture 208

12.9 Modularizing the Wir