Overview
- Discusses potential applications of sensor technologies to deal with the issues arising from Covid-19
- Examines various models/solutions under the IoT framework
- Serves as a reference resource for young scholars, researchers, and industry professionals
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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About this book
This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.
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Keywords
Table of contents (5 chapters)
Authors and Affiliations
About the authors
Dr. Siba K Udgata is currently a Professor of Computer and Information Sciences at the University of Hyderabad, India, where he directs a research group focusing on sensor networks, IoT, wireless communications, and intelligent algorithms. He worked as a Research Fellow at the United Nations University/International Institute of Software Technology (UNU/IIST), Macau. He has published more than 100 research papers in peer-reviewed journals and at international conferences. He has edited ten international conference proceedings for Springer LNAI, AISC and SIST. He is a recipient of the IBM SUR (Shared University Research) award for the project “Mobile Sensor network based rescue management system”. He has successfully completed seven Government of India sponsored research projects in the domain of sensor network, IoT, and cognitive radio network.
Dr. Nagender Kumar Suryadevara received his Ph.D. degree from the School of Engineering and Advanced Technology,Massey University, New Zealand, in 2014. He has authored/co-authored two books and over 45 papers in various international journals, conferences, and book chapters. His research interests include wireless sensor networks, the Internet of things, and time-series data mining.
Bibliographic Information
Book Title: Internet of Things and Sensor Network for COVID-19
Authors: Siba Kumar Udgata, Nagender Kumar Suryadevara
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-15-7654-6
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-15-7656-0Published: 25 August 2020
eBook ISBN: 978-981-15-7654-6Published: 22 July 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XI, 94
Number of Illustrations: 6 b/w illustrations, 32 illustrations in colour
Topics: Computational Intelligence, Communications Engineering, Networks, Artificial Intelligence, Information Systems Applications (incl. Internet)