Overview

Internet of Things is a textbook designed for students of computer science, information technology and electronics & communication engineering to understand the interconnection and integration of the physical world with the cyber space and begin designing and developing simple IoT devices. Divided in to five parts, the book in nineteen chapters takes the reader through the foundations of the subject before moving onto discussing the essential components of an IoT system, including the sensor and actuators, open hardware, middleware, and software platforms with sound illustrations for better understanding. It also dedicates a complete module comprising four chapters on IoT and its relevance to Big Data. The last two parts of the book focuses on data management and use cases finally ending with the chapter on futuristic outlook of this technology.

Full Product Details

Author:   Surya Durbha (Professor, Centre of Studies in Resources Engineering (CSRE),, Professor, Centre of Studies in Resources Engineering (CSRE),, Indian Institute of Technology Bombay (IIT-B)) ,  Jyoti Joglekar (Professor, Dept. of Computer Engineering, Professor, Dept. of Computer Engineering, K J Somaiya College of Engineering, Vidyavihar, Mumbai)
Publisher:   OUP India
Imprint:   OUP India
Dimensions:   Width: 18.60cm , Height: 1.80cm , Length: 24.10cm
Weight:   0.574kg
ISBN:  

9780190121099

ISBN 10:   0190121092
Pages:   452
Publication Date:   08 April 2021
Audience:   Adult education ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Part I: Foundational Aspects Chapter 1, Emergence of IoT 1.1 Background and Vision 1.2 IoT as a Disruptive Technology 1.3 Standardization Chapter 2, Concept of Smart Things / Objects 2.1 Thing in the context of IoT 2.2 Needs of an IoT Thing 2.3 Commonly used Things can become smart 2.4 Machine to Machine (M2M) Technology Chapter 3, Wireless Sensor Networks in IoT 3.1 Introduction 3.3 Types of WSN and Their Architecture 3.2 Characteristics of Wireless Sensor Network 3.4 Network Topologies in Wireless Sensor Network 3.5 WSN Communication Protocols 3.6 Security in WSN 3.7 Distributed Sensor Network 3.8 Wireless Sensor Network Data Aggregation Approaches 3.9 Real World WSN Applications 3.10 Evolution of WSN Towards Internet Of Things 3.11 Quality Of Information in WSN Chapter 4, IoT Standards and Protocols 4.1 An overview of Internet Principles 4.2 IPv6 and Its Role in IoT 4.3 Low Power Wide Area Network (LPWAN) 4.4 Wireless Technologies supporting IoT applications Part II: Understanding the Nuts and Bolts of IoT Hardware, Software and Middleware Chapter 5, Sensors and Actuators in IoT 5.1 Perception Layer of IoT 5.2 Understanding Various Commonly Used Sensors 5.3 Environment Measuring Sensors 5.4 Medical Sensors 5.5 Flow and Fluid Measuring Sensors 5.6 Range and Motion Capture Sensors 5.7 Actuators 5.8 IoT Examples Chapter 6, Open Hardware in IoT 6.1 Introduction IoT Hardware 6.2. Prototyping Boards/Kits 6.3 Hardware for Cellular IoT 6.4 Industrial Microcontroller (PLC and RTU) 6.5 Various other Hardware 6.6 Comparison of Different Hardware Platforms 6.7 Working with IoT Hardware-Hands on Exercises 6.8 Best Practices Chapter 7, IoT Middleware 7.1 Introduction to Middleware 7.2 Architectures of IoT Middleware 7.3 State-of-the-art IoT Middleware Chapter 8, IoT Software Platforms 8.1 Introduction to IoT Software Platforms 8.2 Commercial IoT Software Platforms 8.3 Open IoT Software Platforms 8.4 Choosing an IoT Platform 8.5 Hands-on using an IoT platform Chapter 9, Prototyping IoT Applications 9.1 Importance of prototyping and its benefits 9.2 Physical Design considerations 9.3 Prototyping Logical Design 9.4 Prototyping using Online API 9.5 Embedded code writing 9.6. Examples of Real world applications Part III: IoT Big Data Science and Analytics Chapter 10, Big IoT Data Science 10.1 Foundations and Principles of Big Data Science 10.2 Concept of a Data Lake/Swamp 10.3 Relation between Big Data and IoT 10.4 Big Data Analytics in IoT 10.5 Machine Learning and Deep Learning Tools Chapter 11, IoT in the Cloud 11.1 Cloud Computing and IoT: Introduction 11.2 Integrating Cloud computing with IoT 11.3 Cloud services oriented towards IoT 11.4 Selected Cloud Service providers 11.5 RESTful Web API design Chapter 12, Edge Analytics: Near Real-Time Sensor Stream Processing 12.1 Introduction 12.2 What Is Streaming Data? 12.3 Data Stream Management Systems 12.4 Edge Analytics 12.5 Edge Analytics Walkthrough Chapter 13, Embedded High Performance Computing (HPC) for IoT 13.1 Introduction to High Performance Computing (HPC) 13.2 High Performance Embedded Computing (HPEC) 13.3 Graphics Processing Units (GPU) 13.4. Need for Embedded HPC Edge Devices for IoT 13. 5 Embedded HPC Platforms 13.6 IoT Applications development using Embedded HPC Part IV: Data Management in IoT Chapter 14, Interoperability in the IoT Ecosystem 14.1 Need for Interoperability in IoT Systems 14.2. Types of Interoperability 14.3 IoT Reference Model and Architecture 14.4 Architecture Reference Model 14.5 IoT Reference Architectures 14.6 Interoperability approaches using Syntactic and Semantic Approaches Chapter 15, Cyber Security and Privacy 15.1 Introduction 15.2 Security Issues in IoT systems and Privacy Preservation 15.3 IoT security requirements based on CIA Principles 15.4 Security Technologies in IoT Systems 15.5 IoT System security controls 15.6 Other Security Controls for IoT Systems 15.7 Best practices for securing IoT devices 15.8 IoT Security with Best Practices for Home Automation application Chapter 16, IoT and Business Processes Management 16.1 IoT and Business Process Management (BPM) 16.2 Transformation of BPM using IOT Technologies 16.3 IoT and BPM: Mutual benefits and challenges 16.4. IoT Business Models Part IV: Compelling Use Cases of IoT Chapter 17, Compelling Use Cases 17.1 Introduction 17.2 Use Case for Home automation using Smart Home Appliances 17.3 Use case: Smart Goods Transportation Chapter 18, Future Outlook 18.1 Future Roadmap for IoT 18.2 Expanded opportunities for IoT Applications Chapter 19, IoT Reference Models and Architectures 19.1 IoT Reference model and Architectures 19.2 Architecture Reference Model 19.3 IoT Reference Architectures

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Author Information

Dr Surya Durbha is Professor at Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay (IITB). Before joining IITB, he worked as an Assistant Research Professor at the Center for Advanced Vehicular Systems (CAVS), Geosystems Research Institute (GRI) and also held an adjunct faculty position with the electrical and computer engineering department at Mississippi State University (MSU). Earlier, he worked as a Scientist at Indian Institute of Remote Sensing (IIRS), ISRO, Govt. of India. He received his M.S. degree in remote sensing from Andhra University, India, in 1997 and PhD degree in computer engineering from Mississippi State University (MSU), MS, U.S.A, in 2006. Dr Jyoti Joglekar is Professor in Department of Computer Engineering in K. J. Somaiya College of Engineering, Vidyavihar, Mumbai. She holds a degree in 'Master of Computer Engineering' from University of Mumbai and a Bachelor degree in 'Electrical Engineering' from Walchand College of Engineering, Sangli. She possesses PhD from IIT Bombay in the area of 'Stereo Image Analysis of Satellite Images'. She has 25 years of experience in teaching undergraduate and post-graduate students of Computer Engineering. She also possesses few years of industry experience. Dr Joglekar is currently handling some research projects funded by research organisations in India.

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