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• Internet of Things
• Copyright
• Contents
• About the Authors
• Foreword to the First Edition by Zach Shelby
• Foreword to the First Edition by Geoff Mulligan
• Foreword to the Second Edition by Geoff Mulligan
• Preface
• Introduction
• Structure of the Book
• Part 1: The Evolving IoT Landscape
• Chapter 1: Why the Internet of Things?
• Chapter 2: Origins and IoT Landscape
• Chapter 3: IoT – A Business Perspective
• Chapter 4: An Architecture Perspective
• Part 2: IoT Technologies and Architectures
• Chapter 5: Technology Fundamentals
• Chapter 6: Security
• Chapter 7: Architecture and State-of-the-Art
• Chapter 8: Architecture Reference Model
• Chapter 9: Designing the Internet of Things for the Real-World
• Part 3: IoT Use Cases
• Chapter 10: Asset Management
• Chapter 11: Industrial Automation
• Chapter 12: Smart Grid
• Chapter 13: Commercial Building Automation
• Chapter 14: Smart Cities
• Chapter 15: Participatory Sensing
• Chapter 16: Autonomous Vehicles and Systems of Cyber-Physical Systems
• Chapter 17: Logistics
• Chapter 18: Conclusions and Looking Ahead
• Appendix A: ETSI M2M
• Acknowledgments
• Part 1 The Evolving IoT Landscape
• 1 Why the Internet of Things?
• 2 Origins and IoT Landscape
• 2.1 Introduction
• 2.2 Evolving to an Internet of Things
• 2.2.1 A brief background
• 2.2.2 A simple enterprise IoT solution overview
• 2.2.3 The Internet of Things ahead
• 2.3 IoT in a Global Context
• 2.3.1 Game changers
• 2.3.2 General technology and scientific trends
• 2.3.3 Trends in information and communications technologies
• 2.3.4 Expected capabilities
• 2.3.5 Implications for IoT
• 2.3.6 Barriers and concerns
• 2.4 A Use Case Example
• 2.5 A Shift in Mindset
• 3 IoT – A Business Perspective
• 3.1 Introduction
• 3.1.1 Information marketplaces
• 3.2 Definitions
• 3.2.1 Global value chains
• 3.2.2 Ecosystems vs. value chains
• 3.2.3 Industrial structure
• 3.3 Value Chains Overview
• 3.4 IoT Value Chain Example
• 3.5 An Emerging Industrial Structure for IoT
• 3.5.1 The Information-Driven Global Value Chain
• 3.5.1.1 Inputs to the information-driven global commodity chain
• 3.5.1.2 Production processes of the information-driven global value chain
• 3.6 The International-Driven Global Value Chain and Global Information Monopolies
• 3.7 Business Model Innovation in IoT
• 3.7.1 Current examples
• 3.7.2 Business to Business models
• 3.7.3 Data analytics business models
• 3.7.4 New data marketplaces models
• 3.7.5 SLA security integration
• 3.8 Conclusions
• 4 An Architecture Perspective
• 4.1 Building an Architecture
• 4.2 Requirements and Main Design Principles
• 4.3 An IoT Architecture Outline
• 4.4 Standards Considerations
• Part 2 IoT Technologies and Architectures
• 5 Technology Fundamentals
• 5.1 Devices and Gateways
• 5.1.1 Introduction
• 5.1.1.1 Device types
• 5.1.1.2 Deployment scenarios for devices
• 5.1.2 Basic devices
• 5.1.3 Gateways
• 5.1.3.1 Data Management
• 5.1.3.2 Local applications
• 5.1.3.3 Device Management
• 5.1.4 Advanced devices
• 5.1.5 Summary and vision
• 5.2 Local and Wide Area Networking
• 5.2.1 The need for networking
• 5.2.2 Wide Area Networking
• 5.2.2.1 3rd Generation Partnership Project technologies and Machine Type Communications
• 5.2.3 Low-Power Wide Area Networks
• 5.2.3.1 3GPP Licensed Spectrum LPWA Technologies
• 5.2.3.2 Proprietary LPWA technologies
• 5.2.3.3 LPWA standards landscape
• 5.2.4 Local Area Networking
• 5.2.4.1 Deployment considerations
• 5.2.4.2 Key technologies
• 5.3 Machine Intelligence
• 5.3.1 The role of Machine Intelligence in IoT
• 5.3.2 Machine Intelligence overview
• 5.3.3 Considerations when using MI for IoT data
• 5.3.4 A framework of MI for IoT
• 5.3.5 Industrial Internet Analytics Framework
• 5.3.6 Conclusions
• 5.4 Distributed Cloud and Edge Computing
• 5.4.1 A new software delivery model
• 5.4.2 Cloud fundamentals
• 5.4.3 Computing at the edge
• 5.4.4 Considerations and conclusions
• 5.5 Data Management
• 5.5.1 Introduction
• 5.5.2 Managing IoT data flow
• 5.5.2.1 Data generation
• 5.5.2.2 Data acquisition
• 5.5.2.3 Data validation
• 5.5.2.4 Data storage
• 5.5.2.5 Data processing
• 5.5.2.6 Data remanence
• 5.5.2.7 Data analysis
• 5.5.3 IoT data considerations
• 5.5.4 Conclusions
• 5.6 Business Processes in IoT
• 5.6.1 Introduction
• 5.6.2 IoT integration with enterprise systems
• 5.6.3 Distributed business processes in IoT
• 5.6.4 Considerations
• 5.6.5 Conclusions
• 5.7 Distributed Ledgers and Applications
• 5.7.1 DLT, IoT, and Data Ownership
• 6 Security
• 6.1 Introduction
• 6.2 Basic Principles
• 6.2.1 Encryption
• 6.2.1.1 Ciphers
• 6.2.1.2 Symmetric ciphers
• 6.2.1.3 Asymmetric ciphers
• 6.2.2 Authentication
• 6.2.2.1 Symmetric authentication
• 6.2.2.2 Asymmetric authentication
• 6.2.2.3 Application of authentication
• 6.3 Threats to IoT Systems
• 6.3.1 Denial of Service (DoS) Attacks
• 6.3.2 Sybil attacks
• 6.3.3 Privacy attacks
• 6.3.4 “Hole” attacks
• 6.3.5 Physical attacks
• 6.4 Mitigating Threats to IoT Applications
• 6.4.1 Application layer and physical attacks
• 6.4.2 Transport layer
• 6.4.3 Network layer
• 6.4.4 Data Link/Medium Access Control layer
• 6.4.5 Physical layer
• 6.5 Security in Architectures and Standards
• 6.5.1 IETF
• 6.5.2 3GPP and low-power Wide Area Networks
• 6.6 Security for a Safe IoT
• 6.6.1 Safety in industrial automation and robotics
• 6.6.2 Safety in automotive systems
• 6.6.3 Safety in Smart Cities
• 6.7 Privacy in IoT
• 6.8 Future Developments in Security
• 7 Architecture and State-of-the-Art
• 7.1 Introduction
• 7.2 ITU-T
• 7.3 IETF
• 7.3.1 Introduction
• 7.3.2 IETF IoT-related Working Groups
• 7.3.3 IETF fragments of an architecture
• 7.4 OMA
• 7.5 IoT-A and IIRA
• 7.6 RAMI 4.0
• 7.7 W3C
• 7.8 OGC
• 7.9 GS1 Architecture and Technologies
• 7.9.1 GS1 Identify
• 7.9.2 GS1 Capture
• 7.9.3 GS1 Share
• 7.9.4 EPCIS architecture and technologies
• 7.10 Other Relevant State-of-the-Art
• 7.10.1 oneM2M
• 7.10.2 OCF
• 7.10.3 IEEE
• 7.10.4 IEC/ISO: ISO/IEC JTC 1/WG 10/SC 41
• 7.10.5 AIOTI
• 7.10.6 NIST CPS
• 7.11 Conclusions
• 8 Architecture Reference Model
• 8.1 Introduction
• 8.2 Reference Model and Architecture
• 8.3 IoT Reference Model
• 8.3.1 IoT Domain Model
• 8.3.1.1 Model notation and semantics
• 8.3.1.2 Main concepts
• 8.3.1.3 Further considerations
• 8.3.2 Information model
• 8.3.3 Functional model
• 8.3.3.1 Device Functional Group
• 8.3.3.2 Communication Functional Group
• 8.3.3.3 IoT Service Functional Group
• 8.3.3.4 Virtual Entity Functional Group
• 8.3.3.5 IoT Service Organization Functional Group
• 8.3.3.6 IoT Process Management Functional Group
• 8.3.3.7 Management Functional Group
• 8.3.3.8 Security Functional Group
• 8.3.3.9 Application Functional Group
• 8.3.3.10 Modular IoT functions
• 8.3.4 Communication model
• 8.3.5 Safety, privacy, trust, security model
• 8.3.5.1 Safety
• 8.3.5.2 Privacy
• 8.3.5.3 Trust
• 8.3.5.4 Security
• 8.4 IoT Reference Architecture
• 8.5 Functional View
• 8.5.1 Device and Application Functional Group
• 8.5.2 Communication Functional Group
• 8.5.3 IoT Service Functional Group
• 8.5.4 Virtual Entity Functional Group
• 8.5.5 IoT Process Management Functional Group
• 8.5.6 Service Organization Functional Group
• 8.5.7 Security Functional Group
• 8.5.8 Management Functional Group
• 8.6 Information View
• 8.6.1 Information description
• 8.6.2 Information flow and lifecycle
• 8.6.3 Information handling
• 8.7 Deployment and Operational View
• 8.8 Other Relevant Architectural Views
• 8.9 Other Reference Models and Architectures
• 8.9.1 Industrial Internet Reference Architecture
• 8.9.1.1 IIRA Usage Viewpoint
• 8.9.1.2 IIRA Functional Viewpoint
• 8.9.1.3 IIRA Implementation viewpoint
• 8.10 Best Practices
• 8.11 Conclusions
• 9 Designing the Internet of Things for the Real World
• 9.1 Introduction
• 9.2 Technical Design Constraints – Hardware Is Popular Again
• 9.2.1 Devices and networks
• 9.2.1.1 Functional requirements
• 9.2.1.2 Sensing and communications field
• 9.2.1.3 Programming and embedded intelligence
• 9.2.1.4 Power
• 9.2.1.5 Gateway
• 9.2.1.6 Nonfunctional requirements
• 9.2.1.7 Financial cost
• 9.3 Data Representation and Visualization
• 9.4 Interaction and Remote Control
• Part 3 IoT Use Cases
• 10 Asset Management
• 10.1 Introduction
• 10.2 Expected Benefits
• 10.3 e-Maintenance in the IoT Era
• 10.4 Hazardous Goods Management in the IoT Era
• 10.5 Conclusions
• 11 Industrial Automation
• 11.1 SOA-Based Device Integration
• 11.2 SOCRADES: Realizing the Enterprise Integrated Web of Things
• 11.3 IMC-AESOP: From the Web of Things to the Cloud of Things
• 11.4 Conclusions
• 12 Smart Grid
• 12.1 Introduction
• 12.2 Smart Metering
• 12.3 Smart House
• 12.4 Smart Grid City
• 12.5 Conclusions
• 13 Commercial Building Automation
• 13.1 Introduction
• 13.2 Case Study: Phase One – Commercial Building Automation Today
• 13.2.1 Background
• 13.2.2 Technology overview
• 13.2.3 Value chain
• 13.3 Case Study: Phase Two – Commercial Building Automation in the Future
• 13.3.1 Evolution of commercial building automation
• 13.3.2 Background
• 13.3.3 Technology overview
• 13.3.4 Evolved value chain for commercial building automation
• 14 Smart Cities
• 14.1 Introduction – What Is a Smart City?
• 14.2 Smart Cities – A Technical Perspective
• 14.3 IoT Data Supply Chains
• 14.4 IoT Data and Context Management in Smart Cities
• 14.5 ETSI ISC Context Information Management
• 14.6 Smart Cities – A Reference Architecture
• 14.7 Smart Cities – Smart Parking
• 15 Participatory Sensing
• 15.1 Introduction
• 15.2 Roles, Actors, Engagement
• 15.2.1 Collective design and investigation
• 15.2.2 Public contribution
• 15.2.3 Personal use and reflection
• 15.3 Participatory Sensing Process
• 15.4 Technology Overview
• 15.5 An Early Scenario
• 15.6 Recent Trends
• 15.6.1 Citizen journalism
• 15.6.2 Passive participation
• 15.6.3 Social Sensing
• 15.7 A Modern Example
• 15.8 Conclusions
• 16 Autonomous Vehicles and Systems of Cyber-Physical Systems
• 16.1 Introduction
• 16.2 Autonomous Cars
• 16.2.1 A very brief history of autonomous cars
• 16.2.2 Enabling technologies
• 16.2.3 Regulation, governance, and ethics
• 16.2.4 Other autonomous passenger vehicles
• 16.3 Other Autonomous Systems
• 16.3.1 Autonomous rail
• 16.3.2 Unmanned aerial systems
• 16.3.3 Unmanned Autonomous Underwater Vehicles and Systems
• 16.4 Intelligent Infrastructure
• 16.5 Convergence and Systems of Cyber-Physical Systems
• 16.6 Cyber-Physical Systems Challenges and Opportunities
• 17 Logistics
• 17.1 Introduction
• 17.2 Roles and Actors
• 17.3 Technology Overview
• 17.3.1 Identification of the Things
• 17.3.2 Main technologies
• 17.4 Example Scenario – Food Transport
• 17.5 Conclusions
• 18 Conclusions and Looking Ahead
• A ETSI M2M
• A.1 Introduction
• A.1.1 ETSI M2M high-level architecture
• A.1.2 ETSI M2M Service Capabilities
• A.1.3 ETSI M2M interfaces
• A.1.4 ETSI M2M resource management
• Abbreviations
• Bibliography
• Index
• Back Cover