This book provides a simplified visionary approach about the future direction of IoT, addressing its wide-scale adoption in many markets, its interception with advanced technology, the explosive growth in data, and the emergence of data analytics. IoT business applications span multiple vertical markets. The objective is to inspire creative thinking and collaboration among startups and entrepreneurs which will breed innovation and deliver IoT solutions that will positively impact us by making business processes more efficient, and improving our quality of life. With increasing proliferation of smart-phones and social media, data generated by user wearable/mobile devices continue to be key sources of information about us and the markets around us. Better insights will be gained through cognitive computation coupled with business intelligence and visual analytics that are GIS-based.
Table of Contents:
Foreword xi
About the Authors xv
Preface xix
1 Introductions and Motivation 1
1.1 Introduction 1
1.2 The Book 1
1.2.1 Objectives 1
1.2.2 Benefits 2
1.2.3 Organization 3
1.2.4 Book Cover 4
1.2.5 Impact of C-IoT 6
1.2.6 Summary 8
1.3 C-IoT Terms of References 9
1.3.1 Introduction 10
1.3.2 Need for IoT Framework 12
1.3.3 C-IoT Domains and Business Applications Model 13
1.3.4 Roadmap of IoT 20
1.3.5 C-IoT Platform/Developer Community 22
1.3.6 C-IoT Opportunities for Applications, Solutions, and Systems 23
1.4 The Future 26
1.4.1 General Trends 26
1.4.2 Point Solutions 27
1.4.3 Collaborative Internet of Things 29
1.4.4 C-IoT and RFID 36
1.4.5 C-IoT and Nanotechnology 38
1.4.6 Cyber-Collaborative IoT (C2-IoT) 39
1.4.7 C2-IoT and Ebola Case 40
1.4.8 Summary 43
References 46
2 Application Requirements 47
2.1 C-IoT Landscape 47
2.1.1 C-IoT Model and Architecture Layers 47
2.1.2 C-IoT Model and Enabling Technologies 48
2.1.3 Definition of Key Elements 50
2.1.4 Requirement Considerations 64
2.1.5 C-IoT System Solution – Requirement Considerations 67
2.2 Application Requirements – Use Cases 75
2.3 Health and Fitness System for Individual/Industry/Infrastructure (Lead Example) 76
2.3.1 Landscape 76
2.3.2 Health & Fitness Sensing Requirements 79
2.3.3 Health & Fitness Gateway Requirements 80
2.3.4 Health & Fitness Service Requirements 80
2.3.5 Health & Fitness and Solution Considerations 83
2.3.6 Health & Fitness and System Considerations 84
2.3.7 Health & Fitness and Hospitals 84
2.4 Video Surveillance, Drone, and Machine Vision 84
2.4.1 Landscape 84
2.4.2 Video Surveillance – across Home, Industry, and Infrastructure 86
2.4.3 Video Surveillance Sensing Requirements 88
2.4.4 Video Surveillance Gateway Requirements 89
2.4.5 Video Surveillance Services 90
2.4.6 Example: Red-Light Camera – Photo Enforcement Camera 93
2.4.7 Conclusion 94
2.5 Smart Home and Building 95
2.5.1 Landscape 95
2.5.2 Requirements 97
2.5.3 Smart Home & Building Sensing Requirements 99
2.5.4 Smart Home & Building Gateway Requirements 99
2.5.5 Smart Home & Building Services 100
2.6 Smart Energy 101
2.6.1 Landscape 101
2.6.2 Requirements 102
2.6.3 Smart Energy and Sensing Requirements 103
2.6.4 Smart Energy and Gateway Requirements 103
2.6.5 Smart Energy – Services 103
2.6.6 The Smart Energy App 104
2.6.7 Smart Energy and Network Security 105
2.7 Track and Monitor 106
2.7.1 Landscape 106
2.7.2 Track and Monitor – Sensing Requirements 106
2.7.3 Track and Monitor – Services 107
2.7.4 Track and Monitor – Solution Considerations 108
2.7.5 Track and Monitor Examples 108
2.8 Smart Factory 109
2.8.1 Factory Automation – Robot 109
2.8.2 Industrial 110
2.8.3 Service Robot 112
2.9 Others (Smart Car, Smart Truck, Drone, Machine Vision, and Smart City) 113
2.9.1 Smart Car 113
2.9.2 Smart Roadside 119
2.9.3 Drone 121
2.9.4 Machine Vision 123
2.9.5 Smart City 124
References 128
3 C-IoT Applications and Services 131
3.1 Smart IoT Application Use Cases 132
3.1.1 Health Monitoring – Individual Level (Fitness/Health-Tracking Wearables) 134
3.1.2 Health Monitoring at Business Level (e.g., Clinic and Homes for the Elderly) 137
3.1.3 Home and Building Automation – Individual Level (Smart Home) 146
3.1.4 Smart Energy and Smart Grid 158
3.1.5 Smart Energy Gateways 172
3.1.6 Industrial and Factory Automation 182
3.1.7 Smart Transportation and Fleet Logistics (Connected Cars – V2X: V2V, V2I) 185
3.1.8 Smart City 189
3.2 Smart IoT Platform 190
3.2.1 Smart IoT Software Gateway Platform 191
3.2.2 Smart Sensor Fusion Software Platform 195
3.3 Secured C-IoT Software Platform 196
3.3.1 Overview 197
3.3.2 C-IoT Security – Example of Smart Energy 197
3.3.3 Securing NAN (Metrology-to-Concentrator) 199
3.3.4 Securing Home Area Network (HAN) 201
3.3.5 Securing WAN (Concentrator-to-Substation/Utility Servers) 203
3.3.6 Platform Solution for Concentrator 203
3.3.7 Platform Solution for Substation/Utility Servers 204
3.3.8 Network Topology and IP Addressing: WAN 204
3.3.9 Security on the Concentrator and Utility Servers 204
3.3.10 Summary on C-IoT Security 205
References 207
4 IoT Reference Design Kit 209
4.1 Hardware Equipment List for the Demonstration 210
4.2 Software Required for Demonstration 210
4.3 Safely Power Off the Reference Platform 214
4.4 ZigBee Home and Building Automation 215
4.4.1 Troubleshooting ZigBee Home and Building Automation 217
4.5 Network Video Recorder (NVR) for Video Surveillance 217
4.5.1 Troubleshooting NVR 219
4.6 Internet 3G Broadband Gateway 219
4.7 UPNP 220
4.8 Digital Living Network Alliance (DLNA) Media Server 221
4.8.1 Set Up Reference Platform as DLNA Server 221
4.8.2 Set Up DLNA Clients 222
References 223
5 C-IoT Cloud-Based Services and C-IoT User Device Diversity 225
5.1 C-IoT Cloud-Based Services 225
5.1.1 Introduction and Drivers to C-IoT Service Platform 225
5.1.2 Classes of C-IoT Cloud Computing 227
5.1.3 C-IoT Innovative and Collaborative Services 228
5.1.4 The Emerging Data Center LAN 229
5.2 C-IoT User Device Diversity 231
5.2.1 Introduction 231
5.2.2 C-IoT Developers/Platform 232
5.2.3 Wearable Devices – Individual 234
5.2.4 Harvesting (Self-Powered Nodes) – Infrastructure Applications 235
5.2.5 Embedded Devices and Servers 235
5.2.6 Performing Sentiment Analysis Using Big Data 236
5.2.7 IBM Watson for Cognitive Innovations 237
5.2.8 Far-Reaching Consequences 237
5.2.9 C-IoT (Collaborative IoT) 238
References 238
6 Impact of C-IoT and Tips 239
6.1 Impact on Business Process Productivity and Smart of Digital Life 239
6.1.1 Individual 239
6.1.2 Industry 240
6.1.3 Infrastructure 241
6.2 Considerations of Developing Differentiated C-IoT Solutions 242
6.2.1 Software Processes and Platform 242
6.2.2 Standardization 242
6.2.3 Sensors and C-IoT 243
6.2.4 Advertising Ecosystem Value Exchange 244
6.2.5 Opportunity with Industry Supply Chain for Material Handling 244
6.3 Practical Tips on Maintaining Digital Lifestyle 247
6.3.1 Mobile and Wearable Computing 247
6.3.2 Robotics and Automation 248
6.3.3 Sensors and C-IoT 249
6.3.4 Big Data and Predictive Analysis 250
6.3.5 The Changing Workforce 250
6.3.6 Sustainability 251
References 251
7 Conclusion 253
7.1 Simple C-IoT Domains and Model 253
7.2 Disruptive Business Applications of C-IoT 254
7.2.1 Individual 254
7.2.2 Industry 254
7.3 A New Digital Lifestyle 255
7.4 Development Platform 255
7.4.1 Influencers for Smart Connected Homes 256
7.4.2 Influencers for Industrial Internet 256
7.5 C-IoT Emerging Standards, Consortiums, and Other Initiatives 256
7.5.1 C-IoT Emerging Standards 257
7.5.2 C-IoT Emerging Consortiums 259
7.5.3 Forums, Workshops, and Other Initiatives 260
7.5.4 C-IoT and Radio Communications 260
7.5.5 C-IoT and Nanotechnology 261
7.5.6 C-IoT and Security 261
7.6 Final Note 262
References 262
Index 265
About the Author :
Fawzi Behmann
President, TelNet Management Consulting Inc., Texas, USA
Kwok Wu
Head, Embedded Software Development, Freescale Semiconductor, Texas, USA
