Role of Big Data in Internet of Things Networks

Role of Big Data in Internet of Things Networks

Vijayalakshmi Saravanan (University of Waterloo, Canada), Fatima Hussain (Ryerson University, Canada) and Naik Kshirasagar (University of Waterloo, Canada)
Copyright: © 2019 |Pages: 27
DOI: 10.4018/978-1-5225-7432-3.ch016

Abstract

With recent advancement in cyber-physical systems and technological revolutions, internet of things is the focus of research in industry as well as in academia. IoT is not only a research and technological revolution but in fact a revolution in our daily life. It is considered a new era of smart lifestyle and has a deep impact on everyday errands. Its applications include but are not limited to smart home, smart transportation, smart health, smart security, and smart surveillance. A large number of devices connected in all these application networks generates an enormous amount of data. This leads to problems in data storage, efficient data processing, and intelligent data analytics. In this chapter, the authors discuss the role of big data and related challenges in IoT networks and various data analytics platforms, used for the IoT domain. In addition to this, they present and discuss the architectural model of big data in IoT along with various future research challenges. Afterward, they discuss smart health and smart transportation as a case study to supplement the presented architectural model.
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2. Importance Of Big Data Internet Of Things

This section provides a general overview of Big Data and its usability in the IoT domain. The notion of Big Data trails back to the realization of engines such as; Yahoo and Google and large-scale experiments performed by European Organization for Nuclear Research (CERN) supercollider (Arkady, Perera and Georgakopoulos, 2013). Today, with Cloud technologies, smartphones and massive social media networks, Big Data is a ubiquitous industry worth nearly 125 billion USD.

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