Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Fog Data Analytics for IoT Applications

Fog Data Analytics for IoT Applications

Latest Research Book in Fog Data Analytics for IoT Applications

Author(s) Name:  Sudeep Tanwar

About the 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.

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
  • Application of IoT-Based Smart Devices in Health Care Using Fog Computing
  • Data Reduction Techniques in Fog Data Analytics for IoT Applications
  • Background and Research Challenges for Fog Data Analytics and IoT
  • Behavior-Based Approach for Fog Data Analytics: An Approach Toward Security and Privacy

    • ISBN:  978-981-15-6044-6

    Publisher:  Springer Publisher

    Year of Publication:  2020

    Book Link:  Home Page Url