Fog Data Analytics for IoT Applications

Next Generation Process Model with State of the Art Technologies

AvSudeep Tanwar

Häftad, Engelska, 2021

Del i serien Studies in Big Data

1 423 kr

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Beskrivning

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. 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.

Produktinformation

Utgivningsdatum:2021-08-26
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Studies in Big Data
Antal sidor:497
Förlag:Springer Verlag, Singapore
ISBN:9789811560460

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.