Table of Contents

Introduction.- Introduction to Fog data analytics for IoT applications.- Fog Data Analytics:  Systematic Computational Classification and Procedural Paradigm.- Fog Computing: Building a Road to IoT with Fog Analytics.- Data Collection in Fog Data Analytics.- Mobile FOG Architecture Assisted Continuous Acquisition of Fetal ECG Data for Efficient Prediction.- Proposed Framework for Fog Computing to Improve Quality-of-Service in IoT applications.- Fog Data Based Statistical Analysis to Check Effects of Yajna and Mantra Science: Next Generation Health Practices.- Process Model for Fog Data Analytics for IoT Applications.- Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of Things.

About the Author

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.​