Handbook of IoT and Big Data: 1st Edition (Hardback) book cover

Handbook of IoT and Big Data

1st Edition

Edited by Vijender Kumar Solanki, Vicente García Díaz, J. Paulo Davim

CRC Press

340 pages | 128 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781138584204
pub: 2019-03-08
Available for pre-order

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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.


  • 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

Table of Contents

Section One: IoT and Technologies. 1. History, Present and Future with IoT. 2. Application Scenario and Dependence with IoT. 3. High Level Languages and IoT : Sensors Controls. 4. IoT and Industry Expectations. Section Two: Big data and Future Horizons. 5. Language and Big Data Explosion. 6. Big Data and Future Dimension in IT. 7. Why Big Data, and Its Basic-to Advance Big Data Journey. 8. Hardware and Big Data: The Outcome to Industry. Section Three: Big Data and Algorithm. 9. Algorithm and Infrastructure using IoT. 10. IoT and Big Data: Evolution, Present and Future Dreams. 11. Power House of Infrastructure or Automation. 12. The Perception and Possibilities about IoT. Section Four: Interdisciplinary Tools and Cases of IoT and Big Data. 13. A Collaborative Approach: IoT and Big Data. 14. The Automation: Arduino-Lab View and other Tools. 15. Big Data and Medical Health Care. 16. The Case Study: IoT and the Future.

About the Editors

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 special issues in books and journals. His research interests include machine learning, natural language processing, model-driven engineering and domain specific languages.

J. Paulo Davim received the Ph.D. degree in Mechanical Engineering in 1997, the M.Sc. degree in Mechanical Engineering (materials and manufacturing processes) in 1991, the Licentiate degree (5 years) in Mechanical Engineering in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005 and the D.Sc. from London Metropolitan University in 2013. He is Eur Ing by FEANI-Brussels and Senior Chartered Engineer by the Portuguese Institution of Engineers with a MBA and Specialist title in Engineering and Industrial Management. Currently, he is Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials and Mechanical Engineering with special emphasis in Machining & Tribology. He has also interest in Management & Industrial Engineering and Higher Education for Sustainability & Engineering Education. He has received several scientific awards. He is the Editor in Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many international journals and conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 80 prestigious Web of Science journals. In addition, he has also published as editor (and co-editor) more than 100 books and as author (and co-author) more than 10 books, 60 book chapters and 400 articles in journals and conferences (more than 200 articles in journals.

About the Series

Science, Technology, and Management

This book series focuses on special volumes from conferences, workshops, and symposiums, as well as volumes on topics of current interested in all aspects of science, technology, and management. The series will discuss topics such as, mathematics, chemistry, physics, materials science, nanosciences, sustainability science, computational sciences, mechanical engineering, industrial engineering, manufacturing engineering, mechatronics engineering, electrical engineering, systems engineering, biomedical engineering, management sciences, economical science, human resource management, social sciences, engineering education, etc. The books will present principles, models techniques, methodologies, and applications of science, technology and management.

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
TECHNOLOGY & ENGINEERING / Operations Research