Internet of Things

Internet of Things

Technologies and Applications for a New Age of Intelligence

2nd Edition - November 16, 2018

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  • Authors: Vlasios Tsiatsis, Stamatis Karnouskos, Jan Holler, David Boyle, Catherine Mulligan
  • Paperback ISBN: 9780128144350
  • eBook ISBN: 9780128144367

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Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), as well as associated emerging technologies. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. New to this edition: • Updated material on current market situation and outlook.• A description of the latest developments of standards, alliances, and consortia. More specifically the creation of the Industrial Internet Consortium (IIC) and its architecture and reference documents, the creation of the Reference Architectural Model for Industrie 4.0 (RAMI 4.0), the exponential growth of the number of working groups in the Internet Engineering Task Force (IETF), the transformation of the Open Mobile Alliance (OMA) to OMA SpecWorks and the introduction of OMA LightweightM2M device management and service enablement protocol, the initial steps in the specification of the architecture of Web of Things (WoT) by World Wide Consortium (W3C), the GS1 architecture and standards, the transformation of ETSI-M2M to oneM2M, and a few key facts about the Open Connectivity Forum (OCF), IEEE, IEC/ISO, AIOTI, and NIST CPS.• The emergence of new technologies such as distributed ledgers, distributed cloud and edge computing, and the use of machine learning and artificial intelligence for IoT.• A chapter on security, outlining the basic principles for secure IoT installations.• New use case description material on Logistics, Autonomous Vehicles, and Systems of CPS

Key Features

  • Standards organizations covered: IEEE, 3GPP, IETF, IEC/ISO, Industrial Internet Consortium (IIC), ITU-T, GS1, Open Geospatial Consortium (OGC), Open Mobile Alliance (OMA, e.g. LightweightM2M), Object Management Group (OMG, e.g. Business Process Modelling Notation (BPMN)), oneM2M, Open Connectivity Forum (OCF), W3C
  • Key technologies for IoT covered: Embedded systems hardware and software, devices and gateways, capillary networks, local and wide area networking, IoT data management and data warehousing, data analytics and big data, complex event processing and stream analytics, control systems, machine learning and artificial intelligence, distributed cloud and edge computing, and business process and enterprise integration
  • In-depth security solutions for IoT systems
  • Technical explanations combined with design features of IoT and use cases, which help the development of real-world solutions
  • Detailed descriptions of the architectures and technologies that form the basis of IoT
  • Clear examples of IoT use cases from real-world implementations such as Smart Grid, Smart Buildings, Smart Cities, Logistics and Participatory Sensing, Industrial Automation, and Systems of CPS
  • Market perspectives, IoT evolution, and future outlook


Mobile and wireless communications engineers, IT engineers, electronics engineers who need to understand IoT at an in-depth level to build and manage IoT Solutions. Graduate students taking courses on IoT

Table of Contents


    Chapter 1

    1.1 Introduction to the book

    1.2 Structure of the Book

    Chapter 2 - Origins and IoT Landscape

    2.1 Background and evolution of CPS / IoT / Big Data / M2M

    2.2 Differing characteristics

    2.3 The Global Context

    2.4 Use Case example

    Chapter 3 - A Market Perspective

    3.1 Introduction

    3.2 Some definitions

    3.4 Value Chains

    3.5 An Emerging Industrial Structure around IoT

    3.5.1 Industrial IoT

    3.5.2 Consumer IoT

    3.6 A Framework for Approaching Market Development

    3.7 Use case example

    3.8 Conclusions

    Chapter 4 - An Architectural Perspective

    4.1 Building an Architecture

    4.2 The IoT Architecture Landscape

    4.3 Requirements and Main Design Principles

    4.4 Standards Considerations


    Chapter 5 Technology Fundamentals

    5.1 Devices and Gateways

    5.2 NFC, RFID and Tags

    5.3 Local and Wide Area Networking

    5.4 Data Management

    5.5 Business Processes in IoT

    5.6 Distributed Cloud and Edge Computing

    5.7 Machine Intelligence

    5.8 Distributed Ledgers and Applications

    5.8 Next Steps

    Chapter 6. Security

    6.1 Introduction

    6.2 Basic Principles

    6.3 Architecture and Standards

    6.4 Use Cases

    6.5 Future Developments in Security

    Chapter 7. Trust, Identity and Privacy

    7.1 Introduction

    7.2 Architectures for Ensuring Trust in IoT Networks

    7.3 Architectures for Establishing Identity in IoT Networks

    7.4 Privacy Solutions for IoT Networks

    7.5 Use Cases


    Chapter 8. IoT Architecture and State of the Art

    8.1 Introduction

    8.2 State of the Art

    8.2.1 oneM2M

    8.2.2 ITU-T

    8.2.3 IETF

    8.2.4 ISO/IEC JTC 1/WG 10

    8.2.5 IoT-A

    8.2.6 IIC/IIRA

    8.2.7 RAMI

    8.2.8 W3C

    8.2.9 NIST CPS

    8.2.10 EPCIS

    Chapter 9: Architecture Reference Model

    9.1 Introduction

    9.2 Reference Model and Architecture

    9.3 IoT Reference Model

    9.4 Functional View

    9.5 Information View

    9.6 Deployment and Operational View

    9.7 Other Relevant Architectural Views

    Chapter 10: Real-World Design Constraints

    10.1 Introduction

    10.2 Technical Design Constraints

    10.3 Data Representation

    10.4 Interaction and Remote Control


    Chapter 11: Introduction to Use

    Chapter 12: Asset Management

    Chapter 13: Industrial Automation

    Chapter 14: The Smart Grid

    Chapter 15: Commercial Building Automation

    Chapter 16: Smart Cities

    Chapter 17: Participatory Sensing

    Chapter 18: Robotics

    Chapter 19: Autonomous Vehicles

    Chapter 20: Logistics

    Chapter 21: Conclusions and Looking Ahead

    Appendix A - Open source software implementations to use IoT

Product details

  • No. of pages: 390
  • Language: English
  • Copyright: © Academic Press 2018
  • Published: November 16, 2018
  • Imprint: Academic Press
  • Paperback ISBN: 9780128144350
  • eBook ISBN: 9780128144367

About the Authors

Vlasios Tsiatsis

Vlasios Tsiatsis is a Senior Researcher at Ericsson Research, Ericsson AB and has been working on the Internet of Things (IoT) for 20 years, on subjects ranging from energy-efficient communication algorithms on 8-bit microcontrollers to streaming data analytics in the cloud and recently to IoT Security.He has contributed to several research projects on Wireless Sensor Networks by DARPA, United States, European Union research projects such as RUNES, SENSEI, IoT-i, and CityPulse as well as internal Ericsson corporate research projects around machine/man/mobile-to-machine and IoT services. Vlasios has extensive theoretical and practical experience on IoT technologies and deployments and his research interests include security, system architecture, IoT system management, machine intelligence, and analytics. He holds a PhD in the area of Networked Embedded Systems from the University of California, Los Angeles.

Affiliations and Expertise

Ericsson, Sweden

Stamatis Karnouskos

Stamatis Karnouskos is an expert on the IoT at SAP, Germany. He investigates the added value and impact of emerging technologies in enterprise systems. For over 20 years, he has led efforts in several European Commission and industry-funded projects relate to IoT, Cyber-Physical Systems, Industrie 4.0, manufacturing, smart grids, smart cities, security, and mobility. Stamatis has extensive experience in research and technology management within the industry as well as the European Commission and several national research funding bodies (e.g., in Germany, France, Switzerland, Denmark, Czech Republic, and Greece). He has served on the technical advisory board of the Internet Protocol for Smart Objects (IPSO) Alliance and the Permanent Stakeholder Group of the European Network and nformation Security Agency (ENISA).

Affiliations and Expertise

expert on the IoT at SAP, Germany.

Jan Holler

Jan Höller is a Research Fellow at Ericsson Research, where he has a responsibility to define and drive technology and research strategies and to contribute to the corporate strategies for the IoT. He established Ericsson’s research activities in IoT over a decade ago, and he has been contributing to several European Union research projects including SENSEI, IoT-i, and Citypulse. Jan has held various positions in Strategic Product Management and Technology Management and has, since he joined Ericsson Research in 1999, led different research activities and research groups. He has served on the Board of Directors at the IPSO Alliance, the first IoT alliance formed back in 2008. He currently serves on the Board of Directors of OMA SpecWorks and is a cochair of the Networking Task Group in the Industrial Internet Consortium.

Affiliations and Expertise

Ericsson, Sweden

David Boyle

David Boyle is a Lecturer in the Dyson School of Design Engineering at Imperial College London. He has more than 14 years experience developing IoT technologies across academia and industry. His research interests lie at the intersection of complex sensing, actuation, and control systems (Cyber-Physical Systems), IoT and sensor network applications, data analytics, and digital economy. David was awarded his PhD in Electronic and Computer Engineering from the University of imerick, Ireland, in 2009, following his B.Eng. (Hons) in Computer Engineering in 2005. His work has been recognized and awarded internationally and published in leading technical journals, including the IEEE Transactions on Industrial Electronics (TIE) and Informatics (TII). He actively participates in a number of Technical Programs and Organizing Committees for the premier conferences in the field. Before joining the Dyson School of Design Engineering in 2018, David was a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London since 2012. Previously, he worked with theWireless Sensor Network and icroelectronics Applications Integration Groups in the Microsystems Centre at Tyndall National Institute, and the Embedded Systems Research Group, University College Cork, Ireland. Prior to this, he was with France Telecom R&D Orange Labs, France, and a Visiting Postdoctoral Scholar at the Higher Technical School of Telecommunications Engineering, Technical University of Madrid (ETSIT UPM), Spain

Affiliations and Expertise

Imperial College, London, UK

Catherine Mulligan

Dr Cathy Mulligan is a Visiting Researcher at Imperial College and was a founding Co-Director of the ICL Centre for Cryptocurrency Research and Engineering. She is also a Senior Research Associate at University College where she is Chief Technology Officer of the GovTech Lab and DataNet, which focuses on the potential and application of blockchain, AI and advanced communications technologies as a foundational part of the world’s economy. Cathy is an expert and fellow of the World Economic Forum’s Blockchain council and has recently become a member of the United Nations Secretary General’s High Level Panel on Digital Co-Operation. She holds a PhD and MPhil from the University of Cambridge and is the author of several books on telecommunications including EPC and IoT.

Affiliations and Expertise

Imperial College, London, UK.

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  • Richard I. Thu Jan 27 2022

    Internet of Things

    Internet of Things