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Machine Learning Approach for Cloud Data Analytics in IoT
book

Machine Learning Approach for Cloud Data Analytics in IoT

by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
July 2021
Intermediate to advanced
528 pages
13h 35m
English
Wiley-Scrivener
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT

8Cloud-Based Data Analytics for Monitoring Smart Environments

D. Karthika

Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (Formerly Vels University), Chennai, Tamil Nadu, India

Abstract

Wireless communication has made tremendous progress. These developments have sparked new wireless connectivity and networking paradigms. For example, the research community is looking at 5G for automated mobile communications in wireless networks. A recent chapter focuses on the concept of Internet of Things (IoT) as a key element of 5G wireless networks, which aims to connect each unit, such as wireless sensor nodes and home appliances, to the internet. As these technologies grow, they are applied to different real-world problems. Distinct from the maximum relevant application areas is the efficient and smarter monitor of populations. The intelligent city is a vision that extracts information from city systems to take management measures. This vision can be realized by using data and communication skills to track and control these processes. The IoT is used because it would integrate all the city’s infrastructure into the internet.

Keywords: Cloud computing, data analytics, IoT, smart cities, wireless technologies

8.1 Introduction

Wireless portfolios can be used as hospitals, highways, trains, and electricity supplies to chart networks like these. To order to pass the readings of the city sensor, local authorities need internet ...

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Publisher Resources

ISBN: 9781119785804Purchase Link