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The Internet of Things in the Industrial Sector

Security and Device Connectivity, Smart Environments, and Industry 4.0

  • Zaigham Mahmood
Book

Part of the Computer Communications and Networks book series (CCN)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Concepts, Processes and Limitations

    1. Front Matter
      Pages 1-1
    2. Nuno Santos, Francisco Morais, Helena Rodrigues, Ricardo J. Machado
      Pages 55-78
  3. Frameworks and Methodologies

    1. Front Matter
      Pages 79-79
    2. Mahdi Saeedi Nikoo, M. Cagri Kaya, Michael L. Schwartz, Halit Oguztuzun
      Pages 81-102
    3. Bedir Tekinerdogan, Turgay Çelik, Ömer Köksal
      Pages 103-119
    4. J. A. López-Leyva, A. Talamantes-Álvarez, M. A. Ponce-Camacho, O. Meza-Arballo, B. Valadez-Rivera, L. Casemiro-Oliveira
      Pages 121-142
  4. Connectivity and Novel Technologies

    1. Front Matter
      Pages 143-143
    2. J. Rian Leevinson, V. Vijayaraghavan, Muthu Dammodaran
      Pages 145-162
    3. Bugra Turan, Kadir Alpaslan Demir, Burak Soner, Sinem Coleri Ergen
      Pages 163-191
    4. Lucio A. Rocha, Fernando Barreto, Laio O. Seman
      Pages 193-219
  5. Applications and Use Case Scenarios

  6. Back Matter
    Pages 321-326

About this book

Introduction

This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern.

This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings.

The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

Keywords

Internet of Things (IoT) Industrial Internet of Things (IIoT) Device Connectivity Smart Devices Smart Industrial Environments Industry 4.0 Smart Manufacturing Smart Logistics Smart Grids

Editors and affiliations

  • Zaigham Mahmood
    • 1
  1. 1.Northampton UniversityNorthamptonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-24892-5
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-24891-8
  • Online ISBN 978-3-030-24892-5
  • Series Print ISSN 1617-7975
  • Series Online ISSN 2197-8433
  • Buy this book on publisher's site
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