Internet of Things, 3ed

Description

The third edition of Internet of Things builds on foundational concepts while incorporating the latest advancements in the field. It expands coverage on sensors, microcontrollers, and communication protocols, including IPv6. New topics such as digital twins, OpenVINO, and the integration of AI/ML in IoT systems are introduced. A dedicated chapter on emerging trends explores innovations like quantum computing, autonomous vehicles, and drones. The edition also enhances discussions on IoT applications, challenges, and machine learning models, making it a comprehensive and up-to-date resource for learners and professionals.

About the Author

Dr. Shriram Vasudevan is a distinguished Technology Leader at Intel, boasting over 17 years of experience across both industry and academia. Holding a Doctorate in Embedded Systems, he has made remarkable contributions to technology, research and education. His passion for innovation is evident in his extensive body of work, including 47 authored books published by esteemed publishers such as Taylor & Francis, Wiley and Oxford University Press.

Dr. Shriram’s influence extends to public speaking, where he is a TEDx speaker and an ACM Distinguished Speaker, inspiring audiences globally. As a TOP AI Evangelist, he actively shares cutting-edge insights, fostering a strong tech community. His passion for education is further reflected in his 51K+ YouTube subscribers, where he continues to empower aspiring technologists and researchers.

R. M. D. Sundaram is a Software Architect at Wipro Limited in Italy, with over 20 years of experience in embedded software design and development. He has contributed to the software architecture and development of numerous products currently in use, such as infotainment systems, Android-based smartphones and tablets, 4G LTE and 5G modems, set-top boxes and IoT devices. Sundaram holds an MTech in Computer Vision and Image Processing.

Abhishek S Nagarajan is working as a Data Scientist III in [24]7.ai in Bangalore. He is involved in projects focusing on Data Science and AI, with a particular interest in designing practical solutions that utilise data and AI. Recently, he has been working on campaign management models, while his previous experiences included augmented reality and AI-powered computer vision visual aids. He has authored six books on various fields of computer science and published over 10 papers in reputable journals worldwide.

Table of Contents

Book Review

Chapter 1 Introduction to Internet of Things (IoT)

1.1 Introduction and Definition of Internet of Things (IoT)

1.2 IoT Growth and Observations – A Statistical View

1.3 Application Areas of IoT

1.4 Characteristics of IoT

1.5 Things in IoT

1.6 IoT Stack

1.7 Enabling Technologies

1.8 IoT Challenges

1.9 IoT Levels

Chapter 2 Introduction to Sensors, Microcontrollers and Their Interfacing

2.1 Introduction to Sensor Interfacing

2.2 Types of Sensors

2.3 Controlling Sensors through Webpages

2.4 Microcontrollers: A Quick Walkthrough

2.5 Advanced RISC Machine

Chapter 3 Protocols for IoT

3.1 Introduction

3.2 Messaging Protocols

3.3 Transport Protocols (Li-Fi, BLE)

3.4 Internet Protocol – IPv6

Chapter 4 Cloud for IoT – A Detailed Analysis and Understanding

4.1 Introduction

4.2 IoT with Cloud – Challenges

4.3 Selection of Cloud Service Provider for IoT Applications – An Overview

4.4 Introduction to Fog Computing

4.5 Cloud Computing – Security Aspects

4.6 A Case Study – How to Use ADAFRUIT Cloud?

4.7 OpenVINO – The AI and IoT Convergence

Chapter 5 Data Analytics – Visualising the Power of Data from IoT

5.1 Introduction

5.2 Data Analysis

5.3 Artificial Intelligence Models

5.4 Types of Artificial Intelligence Models

5.5 Model Building Process

5.6 Modelling Algorithms

5.7 Model Performance

5.8 Big Data Platform

5.9 Big Data Pipeline

5.10 Tools and Techniques for Analysing IoT Data

5.11 Integration of AI/ML for Decision Making

5.12 Real Life Projects

5.13 Recommendation in IoT Gadgets

Chapter 6 Emerging Trends in IoT

6.1 Introduction

6.2 Quantum Computing and IoT

6.3 Potential Impact of Quantum Computing on IoT

6.4 Integration of IoT in Autonomous Vehicles and Drones

Chapter 7 Applications Building with IoT

7.1 Introduction

7.2 Smart Perishable Tracking with IoT and Sensors

7.3 Smart Healthcare – Elderly Fall Detection with IoT and Sensors

7.4 Smart Lavatory Maintenance – Inflight Innovation with IoT

7.5 Smart Water Metering Solutions

7.6 Smart Warehouse Monitoring – Let the Drone Fly for You

7.7 Smart Retail – Possibilities in Retail Sector

7.8 Smart Driver Assistance Systems – Driver Drowsy Detection – System Detect Highway Hypnosis in Drivers with IoT

7.9 Collision Impact Measurement – System to Measure the Impact of an Accident with IoT

Annexure A1 Getting Familiarised with Arduino IDE

Annexure A2 Getting Familiarised with Raspberry Pi

Annexure B Analysis and Study of IoT Security: Case Study Examples

Annexure C Sensors and Applications – A Quick Summary

Annexure D Interview Questions and Answers