IoT Product Design and Development: Best Practices for Industrial, Consumer, and Business Applications

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IoT Product Design and Development

Learn to incorporate IoT products into the process of building a product

Internet of Things (or IoT) is currently one of the central building blocks of industry. It is the driving technology of the connected world—be it smart cars, smart homes, smart factories, or smart cities. Industrial IoT (IIoT) is one of the most impactful areas of the global market, where it has fundamentally altered industries as varied as manufacturing, electronics, automotive, consumer goods, healthcare, and process industries like oil and gas, among others. As such, it is essential that engineers working in these fields improve their IoT knowledge to keep pace with this growing demand.

IoT Product Design and Development offers an accessible entry point to the methods, techniques, and best practices necessary to add IoT onto an existing product or to build new IoT products wholesale. To accomplish this, the volume examines product design requirements for industrial, business, and consumer applications. Relying on real-world examples, the book provides a blueprint of the creation process, including tips on best practices and common pitfalls. Readers will thereby gain the tools to bring IoT to specific industries and job functions.

IoT Product Design and Development readers will also find:

  • Concise content that is targeted to what practitioners need to know without the academic jargon
  • In-depth case studies related to power distribution systems, airports, and consumer home products
  • Diagrams and tables used liberally to present concepts in a visual way
  • Additional sidebar examples are included throughout the book to highlight key issues like IoT security and product lifecycle

IoT Product Design and Development is a useful reference for professional mechanical, electrical, and industrial engineers, as well as IoT product managers, business leads, software and hardware professionals, and data professionals.

Author(s): Ahmad Fattahi
Series: IoT Skills in Practice
Publisher: Wiley
Year: 2023

Language: English
Pages: 197
City: Hoboken

Cover
Title Page
Copyright Page
Contents
Acknowledgments
Preface
Chapter 1 Introduction to IoT
WHAT IS IoT?
WHY IS IoT IMPORTANT?
WHY NOW?
Chapter 2 IoT and Digital Transformation
THE ROLE OF IoT IN MODERN BUSINESSES
Opportunities
Risks
IT’S AN INTEGRATION PROCESS: THE HUMAN ASPECTS OF DIGITAL TRANSFORMATION
IT-OT Integration
Building Trust Is Key
Chapter 3 Business Models and Market Analysis
BUSINESS AND INDUSTRIAL MARKET
The Shift to Software-Based PLCS
Example: Improve Cost and Reliability of a Power Distribution System with IoT
Example: Enhance Safety, Security, and Carbon Footprint in an Airport Using IoT
CONSUMER MARKET
Sources of Cost
Sources of Revenue
Matter, Formerly Known as Project Connected Home Over IP (CHIP)
Example: Improve Quality of Life and Energy Efficiency by Smart Thermostats
CONNECTIVITY CHOICE AND ITS IMPACT ON ROI
CLIMATE CHANGE AND PERFORMANCE PER WATT
DATA BY-PRODUCTS BEYOND THE ORIGINAL IoT APPLICATION
Services and Device Management
Peripheral Businesses
Marketing
Data Management
Analytics and AI
Developers
Security and Safety
Chapter 4 Security
ENCRYPTION TECHNIQUES
Symmetric Encryption Algorithms
Asymmetric Encryption Algorithms
SOFTWARE AND FIRMWARE UPDATE TECHNIQUES
Random Key Generation
Software and Firmware Update Process
KEY MANAGEMENT AND PROTECTION AGAINST KNOWN THREATS
SECURITY ATTACKS AND CHAIN OF TRUST
Security Attacks
Chain of Trust
Incident Response
BLOCKCHAIN
SUMMARY OF BEST SECURITY PRACTICES FOR IoT SYSTEMS
NETWORKING CONCEPTS
Proxy
VPN
Firewall
DMZ
IoT SECURITY STANDARDS AND CERTIFICATES
ioXT
UL
Matter, Formerly Known as Project Home over IP (CHIP)
Governmental Regulations and Other General Guidelines
Chapter 5 IoT System Design Process and Main Components
DESIGN AND DEPLOYMENT PROCESS
Roles, Responsibilities, and Team Structure
Process – A Deeper Look
SENSORS
Common Sensors
General Sensor Concepts
Filtering the Sensor Output
FILE SYSTEMS
Data in Motion versus Data at Rest
MACHINE LEARNING
History and Background
Categories of Learning Algorithms
General Machine Learning Concepts
How a Machine Learning Model Is Built
Overfitting
Data Set, Explainability, and Supervised Concepts
What Is and What Is Not Machine Learning?
Machine Learning Architecture
NETWORKING AND COMMUNICATION SYSTEM, PRODUCT LIFECYCLE, DEVICE MANAGEMENT
IoT System Architecture: Edge, Cloud, and Fog
Networking
WIRELESS COMMUNICATION PROTOCOLS
Short-Range Wireless Protocols
Long-Range Wireless Protocols
EXAMPLES
Smart Video Doorbell
Energy-Efficient Office
IoT SYSTEMS LIFECYCLE
Chapter 6 The Process of Building a Data Product
WHAT PERSONAS DO YOU NEED ON YOUR TEAM?
BUSINESS UNDERSTANDING
DATA UNDERSTANDING
DATA PREPARATION
MODELING
EVALUATION
DEPLOYMENT
THE CYCLE REPEATS – CRISP-DM
Chapter 7 Concluding Remarks
Further Reading
Index
EULA