02734nam 2200481 450 991049523980332120220419101056.03-030-82216-810.1007/978-3-030-82216-3(CKB)4100000011995127(DE-He213)978-3-030-82216-3(MiAaPQ)EBC6690277(Au-PeEL)EBL6690277(PPN)257352236(EXLCZ)99410000001199512720220419d2021 uy 0engurnn#---mamaatxtrdacontentcrdamediacrrdacarrierInternet of things for indoor air quality monitoring /Jagriti Saini, Maitreyee Dutta, Goncalo MarquesCham, Switzerland :Springer,[2021]℗♭20211 online resource (XIII, 82 p. 7 illus., 6 illus. in color.)SpringerBriefs in applied sciences and technology., Computational intelligence3-030-82215-X Includes bibliographical references.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.SpringerBriefs in applied sciences and technology. Computational intelligence.Indoor air qualityIndoor air quality.620.8Saini Jagriti853416Dutta MaitreyeeMarques GonçaloMiAaPQMiAaPQMiAaPQBOOK9910495239803321Internet of things for indoor air quality monitoring1905579UNINA