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From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence
 
 

From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence , 1st Edition

 
From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence , 1st Edition,Jan Holler,Vlasios Tsiatsis,Catherine Mulligan,Stefan Avesand,Stamatis Karnouskos,David Boyle,ISBN9780124076846
 
 
 

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Academic Press

9780124076846

9780080994017

352

240 X 197

Learn how to select and combine machine-to-machine technologies to design and implement integrated, end-to-end solutions

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Key Features

  • 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 gateways, capillary and M2M area networks, local and wide area networking, M2M Service Enablement, IoT data management and data warehousing, data analytics and big data, complex event processing and stream analytics, knowledge discovery and management, business process and enterprise integration, Software as a Service and cloud computing
  • Combines both technical explanations together with design features of M2M/IoT and use cases. Together, these descriptions will assist you to develop solutions that will work in the real world
  • Detailed description of the network architectures and technologies that form the basis of M2M and IoT
  • Clear guidelines and examples of M2M and IoT use cases from real-world implementations such as Smart Grid, Smart Buildings, Smart Cities, Participatory Sensing, and Industrial Automation
  • A description of the vision for M2M and its evolution towards IoT

Description

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.

Readership

Communications and network engineers, solution architects, system integrators, system managers, academic researchers

Jan Holler

Jan Höller is a Principal Researcher at Ericsson Research where he has a responsibility to define and drive technology and research strategies, and to contribute to the company strategies in the area of M2M and Internet of Things. He established Ericsson’s research activities in the Internet of Things almost a decade ago, and has since then continued to contribute to the company strategies in the area of M2M and Internet of Things towards the Ericsson vision of “50 Billion connected devices” in the Networked Society. Jan has held various positions in Strategic Product Management, Technology Management and has since he joined Ericsson Research in 1999 led different research activities and research groups. He also serves as secretary on the Board of Directors at the IPSO Alliance.

Affiliations and Expertise

Ericsson, Sweden

Vlasios Tsiatsis

Vlasios Tsiatsis is a Senior Researcher at Ericsson Research, Ericsson AB. He holds a Ph.D. in the area of Networked Embedded Systems from the University of California, Los Angeles focusing on energy management of Wireless Sensor Networks. At Ericsson Research he applied his sensor network expertise on IoT-related European Union projects such as RUNES, SENSEI, IoT-i and CityPulse as well as internal Ericsson corporate research projects around ma-chine/man/mobile-to-machine and IoT services. Vlasios has extensive theoretical and practical experience on IoT technologies and deployments and his research interests include system architecture, management of complex and heterogeneous systems including IoT, semantic technologies and their application on IoT systems as well the management of data emanating from large IoT deployments.

Affiliations and Expertise

Ericsson, Sweden

Catherine Mulligan

Affiliations and Expertise

Imperial College, London, UK.

View additional works by Catherine Mulligan

Stefan Avesand

Stefan Avesand is a Senior Software Researcher at Ericsson AB where he drives research within the domain of Artificial Intelligence, and how to apply this in network operations and smart devices (such as in predictive maintenance and the Ericsson Social Web of Things concept). Stefan has 15 years of experience from the field of telecommunications, both from a research and a product development perspective, as well as from an operator and a manufacturer perspective. He has been active in the Internet of Things area for several years and was recently managing the development of an operator based Smart Home solution at Ericsson Research, where he coordinated with Strategic Product Management and external partners to provide services such as TV, multimedia, energy management and home security.

Affiliations and Expertise

Ericsson, Sweden

Stamatis Karnouskos

Stamatis Karnouskos is an Expert on M2M / Internet of Things within SAP. He investigates the added-value of integrating networked embedded devices in enterprise systems. For more than 15 years Stamatis leads efforts in several European Commission and industry funded projects related to industrial automation, smart grids, Internet-based services and architectures, software agents, mobile commerce, security and mobility. He serves in the technical advisory board of Internet Protocol for Smart Objects Alliance (IPSO), and the Permanent Stakeholder Group of the European Network and Information Security Agency (ENISA).

Affiliations and Expertise

Research Expert on M2M/Internet of Things SAP, Mannheim, Germany

David Boyle

David Boyle is a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London. A member of the Optical and Semiconductor Devices Group, and contributing to the Digital Economy Laboratory, his research interests lie at the intersection of applied complex sensing, actuation and control systems (cyber-physical systems), data analytics, and digital economy. David received his PhD in Electronic and Computer Engineering from the University of Limerick, Ireland, in 2009, having graduated with a B. Eng. (Hons) in Computer Engineering in 2005. His work has been recognised and awarded internationally, and published in the leading technical journals, including the IEEE Transactions on Industrial Electronics (TIE), and Informatics (TII). He actively participates on a number of Technical Program, and Organising Committees, notably Design, Automation and Test in Europe (DATE), and the ACM Conference on Embedded Networked Sensor Systems; the premier conference in the field. Before joining Imperial, David worked with Wireless Sensor Network and Microelectronics Applications Integration Groups in the Microsystems Centre at Tyndall National Institute, and the Embedded Systems Research Group, University College Cork, Ireland, primarily developing ‘green' wireless sensor networks to enable sustainable structural health monitoring. Previously, he was with France Telecom R&D - Orange Labs, focussing on end-to-end quality of service for urban machine-to-machine (M2M) services, and a Visiting Postdoctoral Scholar at the Higher Technical School of Telecommunications Engineering, Technical University of Madrid (ETSIT UPM).

Affiliations and Expertise

Imperial College, London, UK

From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence , 1st Edition

  • Foreword
  • Foreword
  • Acknowledgements
  • Author Biographies
  • Part 1: The Vision for Moving from M2M to IoT
    • Part I. The Vision for Moving from M2M to IoT
    • Chapter 1. Introduction and Book Structure
      • 1.1 Introduction
      • 1.2 Structure of the book
    • Chapter 2. M2M to IoT – The Vision
      • 2.1 Introduction
      • 2.2 From M2M to IoT
      • 2.3 M2M towards IoT – the global context
      • 2.4 A use case example
      • 2.5 Differing characteristics
    • Chapter 3. M2M to IoT – A Market Perspective
      • 3.1 Introduction
      • 3.2 Some definitions
      • 3.3 M2M value chains
      • 3.4 IoT value chains
      • 3.5 An emerging industrial structure for IoT
      • 3.6 The international-driven global value chain and global information monopolies
      • 3.7 Conclusions
    • Chapter 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 2: IoT Technologies and Architectures
    • Part II. IoT Technologies and Architectures
    • Chapter 5. M2M and IoT Technology Fundamentals
      • 5.1 Devices and gateways
      • 5.2 Local and wide area networking
      • 5.3 Data management
      • 5.4 Business processes in IoT
      • 5.5 Everything as a service (XaaS)
      • 5.6 M2M and IoT analytics
      • 5.7 Knowledge management
    • Chapter 6. IoT Architecture – State of the Art
      • 6.1 Introduction
      • 6.2 State of the art
    • Chapter 7. Architecture Reference Model
      • 7.1 Introduction
      • 7.2 Reference model and architecture
      • 7.3 IoT reference model
    • Chapter 8. IoT Reference Architecture
      • 8.1 Introduction
      • 8.2 Functional view
      • 8.3 Information view
      • 8.4 Deployment and operational view
      • 8.5 Other relevant architectural views
    • Chapter 9. Real-World Design Constraints
      • 9.1 Introduction
      • 9.2 Technical design constraints – hardware is popular again
      • 9.3 Data representation and visualization
      • 9.4 Interaction and remote control
  • Part 3: IoT Use Cases
    • Part III. IoT Use Cases
    • Chapter 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
    • Chapter 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
    • Chapter 12. The Smart Grid
      • 12.1 Introduction
      • 12.2 Smart metering
      • 12.3 Smart house
      • 12.4 Smart energy city
      • 12.5 Conclusions
    • Chapter 13. Commercial Building Automation
      • 13.1 Introduction
      • 13.2 Case study: phase one – commercial building automation today
      • 13.3 Case study: phase two – commercial building automation in the future
    • Chapter 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
      • 14.7 Conclusions
    • Chapter 15. Participatory Sensing
      • 15.1 Introduction
      • 15.2 Roles, actors, engagement
      • 15.3 Participatory sensing process
      • 15.4 Technology overview
      • 15.5 An early scenario
      • 15.6 Recent trends
      • 15.7 A modern example
    • Chapter 16. Conclusion and Looking Ahead
  • Abbreviations
  • References
  • Index

Quotes and reviews

"Real-world service use case studies provide the hands-on knowledge needed to successfully develop and implement M2M and loT technologies sustainably and profitably." --EDN Europe Magazine, Sep 2014
 
 
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