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IoT-Based Ambient Intelligence Microcontroller for Remote Temperature Monitoring

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Guide to Ambient Intelligence in the IoT Environment

Abstract

The aim of this book chapter is to provide a comprehensive assessment of the ambient intelligence (AmI ) microcontrollers suitable for low-power Internet of things (IoT ) applications. The current challenges and trends in the evolution of low-power and high-performance microcontroller are also explored. The key focus is on the performance analysis of such devices as they facilitate the IoT vision with increased reliability. A detailed discussion of various microcontrollers, their architectures, low-power modes, and available temperature monitoring systems is also provided. In this context, design and architecture of a low-powered microcontroller is proposed and TCAD simulations are carried out for a better understanding of the suggested system. The intended audience is expected to be research and scientific community working in the field of IoT-based smart and intelligent microcontrollers for environmental study applications. The book chapter could be used for a course of higher education and for researchers in the fields of computer science, microelectronics , nanotechnology, and VLSI design. The microcontroller features and content related to IoT, as presented in this contribution, will hopefully be most valuable to the readers to understand the underlying concepts and to develop advanced high-performance circuits and systems. Illustrations, tables, and figures are also provided to supplement the text.

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Correspondence to Balwinder Raj .

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Raj, B., Singh, J., Vishvakarma, S.K., Chouhan, S.S. (2019). IoT-Based Ambient Intelligence Microcontroller for Remote Temperature Monitoring. In: Mahmood, Z. (eds) Guide to Ambient Intelligence in the IoT Environment. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-04173-1_8

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  • DOI: https://doi.org/10.1007/978-3-030-04173-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04172-4

  • Online ISBN: 978-3-030-04173-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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