Intelligent Internet of Things

From Device to Fog and Cloud

  • Farshad Firouzi
  • Krishnendu Chakrabarty
  • Sani Nassif

Table of contents

  1. Front Matter
    Pages i-xii
  2. IoT Building Blocks

    1. Front Matter
      Pages 1-1
    2. Farshad Firouzi, Bahar Farahani, Markus Weinberger, Gabriel DePace, Fereidoon Shams Aliee
      Pages 3-50
    3. Farshad Firouzi, Bahar Farahani, Mahdi Nazm Bojnordi
      Pages 51-95
    4. Enrico Fraccaroli, Davide Quaglia
      Pages 97-171
    5. Farshad Firouzi, Bahar Farahani
      Pages 173-241
    6. Farshad Firouzi, Bahar Farahani, Fangming Ye, Mojtaba Barzegari
      Pages 243-313
    7. Natasha Balac
      Pages 315-356
    8. Wanli Chang, Simon Burton, Chung-Wei Lin, Qi Zhu, Lydia Gauerhof, John McDermid
      Pages 357-392
    9. Xing Liu, Bahar Farahani, Farshad Firouzi
      Pages 393-431
    10. Mahdi Nazm Bojnordi, Payman Behnam
      Pages 433-471
    11. Brian Russell
      Pages 473-512
  3. IoT Technologies for Smart Healthcare

    1. Front Matter
      Pages 513-513
    2. Bahar Farahani, Farshad Firouzi, Krishnendu Chakrabarty
      Pages 515-545
    3. Ram Bilas Pachori, Vipin Gupta
      Pages 547-605
    4. Pei-Yun Sabrina Hsueh, Xinyu Hu, Ying Kuen Cheung, Dominik Wolff, Michael Marschollek, Jeff Rogers
      Pages 607-636
  4. Back Matter
    Pages 637-647

About this book


This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

  • Presents an efficient method to understand the most appropriate positioning of a business against its competitors by digitally transforming into an agile and profitable business based on AI-driven IoT solutions;
  • Breaks down the IoT ecosystem into smaller components, from device, to connectivity and to cloud. We will explain the intersection of these components and discuss how to decide on the right mix of technology given the constraints of each application;
  • Tailored to bridge the gap between IoT, Artificial Intelligence, Big Data Analytics, Distributed Ledger Technologies, Cyber-physical Systems, and Security. This book will show readers how organizations can exploit, design, and utilize scalable intelligent IoT solutions to improve the levels of security, success of the services, ROI, revenue, and customer engagement;
  • Discusses real case studies (e.g., from IBM Watson and Robert Bosch) and practical applications, highlighting the importance of intelligent IoT in several vertical & horizontal markets;
  • Addresses all these important aspects of novel IoT technologies for smart healthcare - wearable sensors, body area sensors, advanced pervasive healthcare systems, collaborative machine learning, and Big Data analytics.


Internet of everything Big data AI-driven IoT IoT cloud architecture and design IoT in healthcare

Editors and affiliations

  • Farshad Firouzi
    • 1
  • Krishnendu Chakrabarty
    • 2
  • Sani Nassif
    • 3
  1. 1.Department of ECEDuke UniversityDurhamUSA
  2. 2.Department of ECEDuke UniversityDurhamUSA
  3. 3.Radyalis LLCAustinUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-30366-2
  • Online ISBN 978-3-030-30367-9
  • Buy this book on publisher's site