Internet of Things and Data Analytics Handbook

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book:

Examines cloud computing, data analytics, and sustainability and how they relate to IoT Covers the scope of consumer, government, and enterprise applications Includes best practices, business model, and real–world case studies

List of Contributors

PART I INTERNET OF THINGS

Chapter 1: Internet of Things and Data Analytics in the Cloud with Innovation and Sustainability
Hwaiyu Geng

Chapter 2: Digital Services and Sustainable Solutions
Rikke Gram–Hansen

Chapter 3: The Industrial Internet of Things (IIoT): Applications and Taxonomy
Stan Schneider

Chapter 4: Strategic Planning for Smarter Cities
Jonathan Reichental

Chapter 5: Next Generation Learning Smart Medical Team Training
Brenda Bannan, Shane Gallagher, and Bridget Lewis

Chapter 6: The Brain–Computer Interface in the Internet of Things
Jim McKeeth

Chapter 7: IoT Innovation Pulse
John Mattison

PART II INTERNET OF THINGS TECHNOLOGIES

Chapter 8: The Internet of Things Opens Source Systems
Scott Amyx

Chapter 9: MEMS: An Enabling Technology for the Internet of Things (IoT)
Michael A. Huff

Chapter 10: Electro–Optic Infrared Sensor Technologies for the Internet of Things
Venkataraman Sundareswaran, Henry Yuan, Kai Song, Joseph Kimchi, and JihFen Lei

Chapter 11: IPv6 for IoT and Gateway
Geoff Mulligan

Chapter 12: Wireless Sensor Networks
David Y. Fong

Chapter 13: Networking Protocols and Standards for Internet of Things
Tara Salman and Raj Jain

Chapter 14: IoT Architecture
Shyam Varan Nath

Chapter 15: A Designer s Guide to the Internet of Wearable Things
David Hindman and Peter Burnham

Chapter 16: Beacon Technology with IoT and Big Data
Nick Stein and Stephanie Urbanski

Chapter 17: SCADA Fundamentals and Applications in the IoT
Rich Hunzinger

PART III DATA ANALYTICS TECHNOLOGIES

Chapter 18: Data Analysis and Machine Learning Effort In Healthcare: Organization, Limitations, Development of an Approach
Oleg Roderick, David Sanchez, David Sanchez, and Arun Aryasomajula

Chapter 19: Data Analytics and Predictive Analytics in the Era of Big Data
Amy Shi–Nash and David R. Hardoon

Chapter 20: Strategy Development and Big Data Analytics
Neil Fraser

Chapter 21: Risk Modeling and Data Science
Joshua Frank

Chapter 22: Hadoop Technology
Scott Shaw

Chapter 23: Security of IoT data: Context, Depth, and Breadth across Hadoop
Pratik Verma

PART IV SMART EVERYTHING

Chapter 24: Connected Vehicle
Adrian Pearmine

Chapter 25: In–Vehicle Health and Wellness: An Insider Story
Pramita Mitra, Craig Simonds, Yifan Chen, and Gary Strumolo

Chapter 26: Industrial Internet
David Bartlett

Chapter 27: Smart City Architecture and Planning: Evolving Systems through IoT
Dominique Davison and Ashley Z. Hand

Chapter 28: Non–Revenue Water
Kenneth Thompson, Brian Skeens, and Jennifer Liggett

Chapter 29: IoT and Smart Infrastructure
George Lu and YJ Yang

Chapter 30: Internet of Things and Smart Grid Standards
Girish Ghatikar

Chapter 31: IoT Revolution in Oil and Gas Industry
Satyam Priyadarshy

31.1 Introduction

Chapter 32: Modernizing the Mining Industry with the Internet of Things
Rafael Laskier

Chapter 33: Internet of Things Based Cyber Physical Frameworks for Advanced Manufacturing and Medicine
J. Cecil

PART V IOT/DATA ANALYTICS CASE STUDIES

Chapter 34: Defragmenting Intelligent Transportation: A Practical Case Study
Alan Carlton, Rafael Cepeda, and Tim Gammons

Chapter 35: Connected and Autonomous Vehicles
Levent Guvenc, Bilin Aksun Guvenc, and Mumin Tolga Emirler

Chapter 36: Transit Hub: A Smart Decision Support System for Public Transit Operations
Shashank Shekhar, Fangzhou Sun, Abhishek Dubey, Aniruddha Gokhale, Himanshu Neema, Martin Lehofer and Dan Freudberg

Chapter 37: Smart Home Services Using the Internet of Things
Gene Wang and Danielle Song

Chapter 38: Emotional Insights via Wearables
Gawain Morrison

Chapter 39: A single platform approach for the management of emergency in complex environments such as large events, digital cities and networked regions
Francesco Valdevies

Chapter 40: Structural Health Monitoring
George Lu and YJ Yang

Chapter 41: Home Healthcare and Remote Patient Monitoring
Karthi Jeyabalan

PART VI CLOUD, LEGAL, INNOVATION, AND BUSINESS MODELS

Chapter 42: Internet of Things and Cloud Computing
James Osborne

Chapter 43: Internet of Things: Privacy and Security Legal Issues
Francoise Gilbert

Chapter 44: IoT and Innovation
William Kao

Chapter 45: IoT Business Models
Hubert C.Y. Chan

References

Further Reading

Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi–million high–tech projects. He has written and presented numerous technical papers at international conferences.  Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).