Internet of things
Material type:
TextPublication details: Wiley India Pvt. Ltd. New Delhi 2020Edition: 2ndDescription: xxii, 308 pISBN: - 9789388991018
- 004.678 VAS
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 004.678 VAS (Browse shelf(Opens below)) | 1 | Available | 004861 |
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| 004.678 RAJ Internet of things: | 004.678 SHA Towards smart world: | 004.678 TER The metaverse handbook: innovating for the internet's next tectonic shift | 004.678 VAS Internet of things | 004.6782 DUB Cloud computing and beyond: a managerial perspective | 004.6782 GIF Pragmatic AI: an introduction to cloud-based machine learning | 004.6782 JAM Cloud computing |
Table of 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
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.
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