Studies in Big Data

Fog Data Analytics for IoT Applications

Next Generation Process Model with State of the Art Technologies

Editors: Tanwar, Sudeep (Ed.)

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  • Presents case studies to demonstrate the process model for tackling future challenges associated with FDA
  • Discusses the layered architecture of FDA and also compares the life cycle of both big data and FDA
  • Focuses on FDA in IoT and requirements related to Industry 4.0
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eBook 128,39 €
price for India (gross)
  • ISBN 978-981-15-6044-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 159,99 €
price for India (gross)
  • ISBN 978-981-15-6043-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

About the authors

Dr. Sudeep Tanwar is an Associate Professor at the Computer Engineering Department at the Institute of Technology of Nirma University, India, and was a Visiting Professor at Jan Wyzykowski University in Polkowice, Poland, and the University of Pitesti, Romani. He received his Ph.D. in Wireless Sensor Networks from the Faculty of Engineering and Technology, Mewar University, India, in 2016. He has received three best research paper awards, including two from top-tier international conferences (IEEE-ICC and IEEE-GLOBECOM). His current interests include routings issues in WSN, blockchain technology, smart grid, and fog computing. He has authored/edited six books: Routing in Heterogeneous Wireless Sensor Networks (ISBN: 978-3-330-02892-0), Big Data Analytics (ISBN: 978-93-83992-25-8), Mobile Computing (ISBN: 978-93-83992-25-6), Energy Conservation for IoT Devices: Concepts, Paradigms and Solutions (ISBN: 978-981-13-7398-5), and Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (ISBN: 978-981-13-8759-3). He is an Associate Editor of the Security and Privacy Journal and is a member of IAENG, ISTE, and CSTA.​

Table of contents (20 chapters)

Table of contents (20 chapters)

Buy this book

eBook 128,39 €
price for India (gross)
  • ISBN 978-981-15-6044-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 159,99 €
price for India (gross)
  • ISBN 978-981-15-6043-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Fog Data Analytics for IoT Applications
Book Subtitle
Next Generation Process Model with State of the Art Technologies
Editors
  • Sudeep Tanwar
Series Title
Studies in Big Data
Series Volume
76
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-6044-6
DOI
10.1007/978-981-15-6044-6
Hardcover ISBN
978-981-15-6043-9
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XV, 497
Number of Illustrations
37 b/w illustrations, 172 illustrations in colour
Topics