Handbook of IoT and Big Data
Science, Technology, and Management Series

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation.

Features

• Focuses on the latest workings of IoT and Big Data



• Discusses the emerging role of technologies and the fast-growing market of Big Data



• Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources



• Offers the latest technology on IoT



• Presents the future horizons on Big Data

1. Big Data Analysis and Compression for Indoor Air Quality

Khushboo Sansanwal, Gulshan Shrivastava, Rohit Anand, and Kavita Sharma

2. Programming Paradigms for IoT Applications: An Exploratory Study

Sivadi Balakrishna and M. Thirumaran

3. Design and Construction of a Light-Detecting and Obstacle-Sensing Robot for IoT—Preliminary Feasibility Study

Mohammad Farhan Ferdous, Prayag Tiwari, and V. B. Surya Prasath

4. XBee and Internet of Robotic Things Based Worker Safety

in Construction Sites

Rajesh Singh, Anita Gehlot, Divyanshu Gupta, Geeta Rana,

Ravindra Sharma, and Shivani Agarwal

5. Contribution of IoT and Big Data in Modern Health Care

Applications in Smart City

Mamata Rath and Vijender Kumar Solanki

6. Programming Language and Big Data Applications

Nikita Bhatt and Amit Ganatra

7. Programming Paradigm and the Internet of Things

Sourav Banerjee, Chinmay Chakraborty, and Sudipta Paul

8. Basics of the Internet of Things (IoT) and Its Future

Neeraj Sharma, Vijender Kumar Solanki, and J. Paulo Davim

9. Learner to Advanced: Big Data Journey

Meenu Gupta and Neha Singla

10. Impact of Big Data in Social Networking through Various Domains

Abhishek Kumar, Srinivas Kumar Palvadi, T. V. M. Sairam,

and Pramod Singh Rathore

11. IoT Recommender System: A Recommender System Based on

Sensors from the Internet of Things for Points of Interest

Cristian González García, Daniel Meana-Llorián, Vicente García Díaz,

and Edward Rolando Núñez-Valdez

12. Internet of Things: A Progressive Case Study

Aditee Mattoo and Somesh Kumar

13. Big Data and Machine Learning Progression with

Industry Adoption

Sandhya Makkar and Vijender Kumar Solanki

14. Internet of Things: Inception and Its Expanding Horizon

Swagat Rameshchandra Barot, Subhanshu Goyal, and Anil Kumar

15. Impact of IoT to Accomplish a Vision of Digital Transformation

of Cities

Shagun Tyagi, Mihir Joshi, Nabila Ansari, and V. K. Singh

Vijender Kumar Solanki, Ph.D. is an Associate Professor in Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 12 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India. He has authored or co-authored more than 35 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 4 books in the area of Information Technology. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001. He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA, ISSN: 2155-6377 | E-ISSN: 2155-6385 . He is a guest editor with IGI-Global, USA, InderScience & many more publishers. He can be contacted at spesinfo@yahoo.com.

Vicente García Díaz is an Associate Professor in the Computer Science Department at the University of Oviedo. He has a PhD from the University of Oviedo in Computer Science. He has supervised more than 60 academic projects and published more than 60 research papers. He is also part of the editorial and advisory board of several journals, and has been editor of several speci