Internet of Things

Author： Tsiatsis, Vlasios;Karnouskos, Stamatis;Holler, Jan

Publishers： Elsevier Science

Publishing year： 2014

ISBN： 9780080994017

Subject： [TM 电工技术]

Language： ENG

Introduction

This book outlines the background and overall vision for the Internet of Things (IoT) and Machine-to-Machine (M2M) communications and services, including major standards. Key technologies are described, and include everything from physical instrumentation of devices to the cloud infrastructures used to collect data. Also included is how to derive information and knowledge, and how to integrate it into enterprise processes, as well as system architectures and regulatory requirements. Real-world service use case studies provide the hands-on knowledge needed to successfully develop and implement M2M and IoT technologies sustainably and profitably. Finally, the future vision for M2M technologies is described, including prospective changes in relevant standards. This book is written by experts in the technology and business aspects of Machine-to-Machine and Internet of Things, and who have experience in implementing solutions.

  • Standards included: ETSI M2M, IEEE 802.15.4, 3GPP (GPRS, 3G, 4G), Bluetooth Low Energy/Smart, IETF 6LoWPAN, IETF CoAP, IETF RPL, Power Line Communication, Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE), ZigBee, 802.11, Broadband Forum TR-069, Open Mobile Alliance (OMA) Device Management (DM), ISA100.11a, WirelessHART, M-BUS, Wireless M-BUS, KNX, RFID, Object Management Group (OMG) Business Process Modelling Notation (BPMN)
  • Key technologies for M2M and IoT covered: Embedded systems hardware and software, devices and gateway

Chapter

  • Front Cover

  • From Machine-to-Machine to the Internet of Things

  • Copyright Page

  • Contents

  • Foreword

  • Foreword

  • Acknowledgements

  • Author Biographies

  • Part I: The Vision for Moving from M2M to IoT

  • 1 Introduction and Book Structure

  • 1.1 Introduction

  • 1.2 Structure of the book

  • Part I: The Internet of Things global context

  • Chapter 2: M2M to IoT – the vision

  • Chapter 3: M2M to IoT – a market perspective

  • Chapter 4: M2M to IoT – an architectural overview

  • Part II: Nuts and bolts of M2M and IoT

  • Chapter 5: M2M and IoT technology fundamentals

  • Chapters 6, 7 & 8: IoT architecture

  • Chapter 9: Real-world design constraints

  • Part III: Implementation examples

  • Chapter 10: Asset management

  • Chapter 11: Industrial automation

  • Chapter 12: The smart grid

  • Chapter 13: Commercial building automation

  • Chapter 14: Smart cities

  • Chapter 15: Participatory sensing

  • Chapter 16: Conclusion and looking ahead

  • Part IV: Appendices

  • 2 M2M to IoT – The Vision

  • 2.1 Introduction

  • 2.2 From M2M to IoT

  • 2.2.1 A brief background

  • 2.2.2 M2M communication

  • 2.2.2.1 A typical M2M solution overview

  • 2.2.2.2 Key application areas

  • 2.2.3 IoT

  • 2.3 M2M towards IoT – the global context

  • 2.3.1 Game changers

  • 2.3.2 General technology and scientific trends

  • 2.3.3 Trends in information and communications technologies

  • 2.3.3.1 Capabilities

  • 2.3.4 Implications for IoT

  • 2.3.5 Barriers and concerns

  • 2.4 A use case example

  • 2.5 Differing characteristics

  • 3 M2M to IoT – A Market Perspective

  • 3.1 Introduction

  • 3.1.1 Information marketplaces

  • 3.2 Some definitions

  • 3.2.1 Global value chains

  • 3.2.2 Ecosystems vs. value chains

  • 3.2.3 Industrial structure

  • 3.3 M2M value chains

  • 3.4 IoT value chains

  • 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

  • 3.5.1.1.1 Sensors and radio frequency identification

  • 3.5.1.1.2 End-users

  • 3.5.1.2 Production processes of the information-driven global value chain

  • 3.5.1.2.1 Data factories

  • 3.5.1.2.2 Service providers/data wholesalers

  • 3.5.1.2.3 Intermediaries

  • 3.5.1.2.4 Resellers

  • 3.6 The international-driven global value chain and global information monopolies

  • 3.7 Conclusions

  • 4 M2M to IoT – An Architectural Overview

  • 4.1 Building an architecture

  • 4.2 Main design principles and needed capabilities

  • 4.3 An IoT architecture outline

  • 4.4 Standards considerations

  • Part II: IoT Technologies and Architectures

  • 5 M2M and IoT 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 Local area networking

  • 5.2.3.1 Deployment considerations

  • 5.2.3.2 Key technologies

  • 5.3 Data management

  • 5.3.1 Introduction

  • 5.3.2 Managing M2M data

  • 5.3.2.1 Data generation

  • 5.3.2.2 Data acquisition

  • 5.3.2.3 Data validation

  • 5.3.2.4 Data storage

  • 5.3.2.5 Data processing

  • 5.3.2.6 Data remanence

  • 5.3.2.7 Data analysis

  • 5.3.3 Considerations for M2M data

  • 5.3.4 Conclusions

  • 5.4 Business processes in IoT

  • 5.4.1 Introduction

  • 5.4.2 IoT integration with enterprise systems

  • 5.4.3 Distributed business processes in IoT

  • 5.4.4 Considerations

  • 5.4.5 Conclusions

  • 5.5 Everything as a service (XaaS)

  • 5.6 M2M and IoT analytics

  • 5.6.1 Introduction

  • 5.6.2 Purposes and considerations

  • 5.6.3 Analytics architecture

  • 5.6.4 Methodology

  • 5.6.4.1 Business understanding

  • 5.6.4.1.1 Predictive maintenance example

  • 5.6.4.2 Data understanding

  • 5.6.4.2.1 Predictive maintenance example

  • 5.6.4.3 Data preparation

  • 5.6.4.3.1 Predictive maintenance example

  • 5.6.4.4 Modeling

  • 5.6.4.4.1 Predictive maintenance example

  • 5.6.4.5 Evaluation

  • 5.6.4.5.1 Predictive maintenance example

  • 5.6.4.6 Deployment

  • 5.6.4.6.1 Predictive maintenance example

  • 5.7 Knowledge management

  • 5.7.1 Data, information, and knowledge

  • 5.7.2 A knowledge management reference architecture

  • 5.7.2.1 Data sources

  • 5.7.2.2 Data integration

  • 5.7.2.3 Processed data

  • 5.7.3 Retrieval layer

  • 5.7.3.1 Information access tools

  • 5.7.3.2 Knowledge discovery tools

  • 6 IoT Architecture – State of the Art

  • 6.1 Introduction

  • 6.2 State of the art

  • 6.2.1 European Telecommunications Standards Institute M2M/oneM2M

  • 6.2.1.1 ETSI M2M high-level architecture

  • 6.2.1.2 ETSI M2M service capabilities

  • 6.2.1.3 ETSI M2M interfaces

  • 6.2.1.4 ETSI M2M resource management

  • 6.2.2 International Telecommunication Union – Telecommunication sector view

  • 6.2.3 Internet Engineering Task Force architecture fragments

  • 6.2.4 Open Geospatial Consortium architecture

  • 7 Architecture Reference Model

  • 7.1 Introduction

  • 7.2 Reference model and architecture

  • 7.3 IoT reference model

  • 7.3.1 IoT domain model

  • 7.3.1.1 Model notation and semantics

  • 7.3.1.2 Main concepts

  • 7.3.1.3 Further considerations

  • 7.3.2 Information model

  • 7.3.3 Functional model

  • 7.3.3.1 Device functional group

  • 7.3.3.2 Communication functional group

  • 7.3.3.3 IoT Service functional group

  • 7.3.3.4 Virtual Entity functional group

  • 7.3.3.5 IoT Service Organization functional group

  • 7.3.3.6 IoT Process Management functional group

  • 7.3.3.7 Management functional group

  • 7.3.3.8 Security functional group

  • 7.3.3.9 Application functional group

  • 7.3.3.10 Modular IoT functions

  • 7.3.4 Communication model

  • 7.3.5 Safety, privacy, trust, security model

  • 7.3.5.1 Safety

  • 7.3.5.2 Privacy

  • 7.3.5.3 Trust

  • 7.3.5.4 Security

  • 8 IoT Reference Architecture

  • 8.1 Introduction

  • 8.2 Functional view

  • 8.2.1 Device and Application functional group

  • 8.2.2 Communication functional group

  • 8.2.3 IoT Service functional group

  • 8.2.4 Virtual Entity functional group

  • 8.2.5 IoT process management functional group

  • 8.2.6 Service Organization functional group

  • 8.2.7 Security functional group

  • 8.2.8 Management functional group

  • 8.3 Information view

  • 8.3.1 Information description

  • 8.3.2 Information flow and lifecycle

  • 8.3.3 Information handling

  • 8.4 Deployment and operational view

  • 8.5 Other relevant architectural views

  • 9 Real-World Design Constraints

  • 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 III: IoT Use Cases

  • 10 Asset Management

  • 10.1 Introduction

  • 10.2 Expected benefits

  • 10.3 e-Maintenance in the M2M Era

  • 10.4 Hazardous goods management in the M2M Era

  • 10.5 Conclusions

  • 11 Industrial Automation

  • 11.1 Service-oriented architecture-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 The Smart Grid

  • 12.1 Introduction

  • 12.2 Smart metering

  • 12.3 Smart house

  • 12.4 Smart energy 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

  • 14.2 Smart cities–the need

  • 14.3 Smart cities–a working definition

  • 14.4 Smart cities–some examples

  • 14.5 Roles, actors, engagement

  • 14.6 Transport and logistics–an IoT perspective

  • 14.6.1 Physical infrastructure for transport

  • 14.6.2 Information marketplace for transport and logistics

  • 14.7 Conclusions

  • 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

  • 15.7 A modern example

  • 16 Conclusion and Looking Ahead

  • Abbreviations

  • References

  • Index

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