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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

  • Book
  • © 2018

Overview

  • Presents the state-of-the-art in research on big data and Internet of Things (IoT) and related areas
  • Presents original research on topics including but not limited to Internet of Things (IoT) technologies, IoT applications, and big data for multidiscipline IoT services
  • Written by respected experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Big Data (SBD, volume 30)

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Table of contents (21 chapters)

  1. Internet of Things Based Sensor Networks

  2. Big Data Analytics

  3. Internet of Things Based Smart Life

Keywords

About this book

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. 

Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. 

Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.

The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. 

Editors and Affiliations

  • Techno India College of Technology , Kolkata, India

    Nilanjan Dey

  • Cairo University , Cairo, Egypt

    Aboul Ella Hassanien

  • Charotar University of Science and Tech , Changa, India

    Chintan Bhatt

  • Tanta University , Tanta, Egypt

    Amira S. Ashour

  • Dept of Computer Science and Engg, PVP Siddhartha Institute of Technology Dept of Computer Science and Engg, Vijayawada, India

    Suresh Chandra Satapathy

Bibliographic Information

  • Book Title: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

  • Editors: Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-60435-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-60434-3Published: 22 August 2017

  • Softcover ISBN: 978-3-319-86864-6Published: 04 August 2018

  • eBook ISBN: 978-3-319-60435-0Published: 14 August 2017

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XI, 549

  • Number of Illustrations: 76 b/w illustrations, 160 illustrations in colour

  • Topics: Computational Intelligence, Big Data, Big Data/Analytics, Artificial Intelligence, Information Systems Applications (incl. Internet)

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