The Internet of Things

The Internet of Things

by John Davies, Carolina Fortuna
Released June 2020
Publisher(s): Wiley
ISBN: 9781119545262

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

Provides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques

Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges.

The Internet of Things: From Data to Insight

  • Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making
  • Explains how IoT technology is applied in practice and the benefits being delivered.
  • Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT
  • Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas
  • Analyzes and presents important emerging technologies for the IoT arena
  • Shows how different objects and devices can be connected to decision making processes at various levels of abstraction

The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.

Table of contents

  1. Cover
  2. About the Editors
  3. List of Contributors
  4. Foreword
  5. Acknowledgments
  6. 1 Introduction
    1. 1.1 Stakeholders in IoT Ecosystems
    2. 1.2 Human and IoT Sensing, Reasoning, and Actuation: An Analogy
    3. 1.3 Replicability and Re‐use in IoT
    4. 1.4 Overview
    5. References
  7. 2 Connecting Devices: Access Networks
    1. 2.1 Introduction
    2. 2.2 Overview of Access Networks
    3. 2.3 Low‐Power Wide Area Network (LPWAN)
    4. 2.4 Cellular Technologies
    5. 2.5 Conclusion
    6. References
    7. Note
  8. 3 Edge Computing
    1. 3.1 Introduction
    2. 3.2 Edge Computing Fundamentals
    3. 3.3 Edge Computing Architecture
    4. 3.4 Implementing Edge Computing Solutions
    5. 3.5 Zero‐Touch Device On‐boarding
    6. 3.6 Applying Edge Computing
    7. 3.7 Conclusions
    8. References
    9. Notes
  9. 4 Data Platforms: Interoperability and Insight
    1. 4.1 Introduction
    2. 4.2 IoT Ecosystems
    3. 4.3 Context
    4. 4.4 Aspects of Interoperability
    5. 4.5 Conclusion
    6. References
    7. Note
  10. 5 Streaming Data Processing for IoT
    1. 5.1 Introduction
    2. 5.2 Fundamentals
    3. 5.3 Architectures and Languages
    4. 5.4 Stream Analytics and Spectrum Sensing
    5. 5.5 Summary
    6. References
    7. Notes
  11. 6 Applied Machine Vision and IoT
    1. 6.1 Introduction: Machine Vision and the Proliferation of Smart Internet of Things Driven Environments
    2. 6.2 Machine Vision Fundamentals
    3. 6.3 Overview of Relevant Work: Current Trends in Machine Vision in IoT
    4. 6.4 A Generic Deep Learning Framework for Improved Situation Awareness
    5. 6.5 Evaluating the Impact of Deep Learning in Different IoT Related Verticals
    6. 6.6 Best Practice
    7. 6.7 Summary
    8. References
  12. 7 Data Representation and Reasoning
    1. 7.1 Introduction
    2. 7.2 Fundamentals
    3. 7.3 Semantic IoT and Semantic WoT (SWoT)
    4. 7.4 Semantics for IoT Integration
    5. 7.5 Use Case
    6. 7.6 Summary
    7. References
    8. Notes
  13. 8 Crowdsourcing and Human‐in‐the‐Loop for IoT
    1. 8.1 Introduction
    2. 8.2 Crowdsourcing
    3. 8.3 Human‐in‐the‐Loop
    4. 8.4 Spatial Crowdsourcing
    5. 8.5 Participatory Sensing
    6. 8.6 Conclusion
    7. References
    8. Notes
  14. 9 IoT Security: Experience Is an Expensive Teacher
    1. 9.1 Introduction
    2. 9.2 Why Is IoT Security Different from IT Security?
    3. 9.3 What Is Being Done to Address IoT Security Challenges?
    4. 9.4 Picking the Low‐Hanging Fruit
    5. 9.5 Summary
    6. References
    7. Notes
  15. 10 IoT Data Privacy
    1. 10.1 Introduction
    2. 10.2 Basic Concepts in IoT Data Privacy
    3. 10.3 A Data Handling Framework Based on Consent Information and Privacy Preferences
    4. 10.4 Standardization for a User‐Centric Data Handling Architecture
    5. 10.5 Example Use Cases
    6. 10.6 Conclusions
    7. References
    8. Notes
  16. 11 Blockchain: Enabling Trust on the Internet of Things
    1. 11.1 Introduction
    2. 11.2 Distributed Ledger Technologies and the Blockchain
    3. 11.3 The Ledger of Things: Blockchain and IoT
    4. 11.4 Benefits and Challenges
    5. 11.5 Blockchain Use Cases
    6. 11.6 Conclusion
    7. References
    8. Note
  17. 12 Healthcare
    1. 12.1 Internet of Things in Healthcare Settings
    2. 12.2 BigEHR: A Federated Repository for a Holistic Lifelong Health Record
    3. 12.3 Gathering IoT Health‐Related Data
    4. 12.4 Extracting Meaningful Information from IoT Data
    5. 12.5 Outlook
    6. Acknowledgments
    7. References
  18. 13 Smart Energy
    1. 13.1 Introduction
    2. 13.2 Use Case Description
    3. 13.3 Reference Architecture
    4. 13.4 Use Case Validation
    5. 13.5 Conclusion
    6. Acknowledgment
    7. References
    8. Note
  19. 14 Road Transport and Air Quality
    1. 14.1 Introduction
    2. 14.2 The Air Pollution Challenge
    3. 14.3 Road Traffic Air Pollution Reduction Strategies
    4. 14.4 Monitoring Air Pollution Using IoT
    5. 14.5 Use Case: Reducing Emissions Through an IoT‐Based Advanced Traffic Management System
    6. 14.6 Limitations of Average Speed Air Quality Modeling
    7. 14.7 Future Roadmap and Summary
    8. References
  20. 15 Conclusion
    1. 15.1 Origins and Evolution
    2. 15.2 Why Now?
    3. 15.3 Maximizing the Value of Data
    4. 15.4 Commercial Opportunities
    5. 15.5 A Glimpse of the Future
    6. References
  21. Index
  22. End User License Agreement

Product information

  • Title: The Internet of Things
  • Author(s): John Davies, Carolina Fortuna
  • Release date: June 2020
  • Publisher(s): Wiley
  • ISBN: 9781119545262