Internet of things for indoor air quality monitoring /

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Bibliographic Details
Author / Creator:Saini, Jagriti, author.
Imprint:Cham : Springer, [2021]
©2021
Description:1 online resource : illustrations (chiefly color).
Language:English
Series:SpringerBriefs in applied sciences and technology. Computational intelligence
SpringerBriefs in applied sciences and technology. Computational intelligence.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12630949
Hidden Bibliographic Details
Other authors / contributors:Dutta, Maitreyee, author.
Marques, Gonçalo, author.
ISBN:9783030822163
3030822168
9783030822156
303082215X
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed August 17, 2021).
Summary:This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.
Other form:Original 303082215X 9783030822156
Standard no.:10.1007/978-3-030-82216-3