Internet of Things, 2ed

Shriram K Vasudevan, Abhishek S Nagarajan, RMD Sundaram

ISBN: 9789388991018

332 pages

INR 649


Addressing and identification protocols, along with their descriptions, are discussed in Chapter 4.

Cloud is major component of IoT as they help to control things from remote places, process and feedback data, etc. Chapter 5 has an in-depth discussion on cloud technology from IoT perspective Data analytics is another associated field of IoT discussed in Chapter 6, which looks into different machine learning algorithms and real-time data analytics. Relevant and important case studies are discussed in Chapter 7, including examples from energy, medical, and vehicle industries.




About the Authors

List of Video Content


Chapter 1 Introduction to Internet of Things

1.1 Introduction and Definition of Internet of Things

1.2 IoT Growth – 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

1.10 Is Cyber Physical System the same as IoT?

1.11 Wireless Sensor Network versus IoT


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 – Messaging and Transport Protocols

3.1 Introduction

3.2 Messaging Protocols

3.3 XMPP and DDS Protocols 85

3.4 Transport Protocols


Chapter 4 Protocols for IoT – Addressing and Identification

4.1 Introduction

4.2 Internet Protocol Version 4 (IPv4)

4.3 Internet Protocol Version 6 (IPv6)

4.4 IPv6 – A Quick Overview

4.5 Internet Protocol Version 5 (IPv5)

4.6 Uniform Resource Identifier (URI)


Chapter 5 Cloud for IoT

5.1 Introduction

5.2 IoT with Cloud – Challenges

5.3 Selection of Cloud Service Provider: An Overview

5.4 Introduction to Fog Computing

5.5 Cloud Computing: Security Aspects


Chapter 6 Data Analytics – Visualising the Power of Data from IoT

6.1 Introduction

6.2 Data Analysis

6.3 Machine Learning

6.4 Types of Machine Learning Models

6.5 Model Building Process

6.6 Modelling Algorithms

6.7 Model Performance

6.8 Big Data Platform

6.9 Big Data Pipeline

6.10 Real Life Projects

6.11 Recommendation in IoT Gadgets


Chapter 7 Application 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 Inflight Lavatory Maintenance with IoT

7.5 IoT–Based Application to Monitor Water Quality

7.6 Smart Warehouse Monitoring

7.7 Smart Retail – IoT Possibilities in the Retail Sector

7.8 Prevention of Drowsiness of Drivers by IoT-Based Smart Driver Assistance Systems

7.9 System to Measure Collision Impact in an Accident with IoT

7.10 Integrated Vehicle Health Management


Further Reading

Annexure A1 Getting Familiarized with Arduino IDE

Annexure A2 Getting Familiarized 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

Annexure E Objective Type Questions and Answers




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