Intelligent Sensor Node-Based Systems: Applications in Engineering and Science - Rilegato

Rilegato

ISBN 10: 1774913232 ISBN 13: 9781774913239

Casa editrice: Apple Academic Press, 2023

Riassunto

This new volume covers the fusion of IoT and wireless communication technology for real-life applications. It discusses the current developments, trends, and latest usage of technology in wireless sensor networks (WSNs) and IoT, which offer improvement in many areas, including in enabling smart homes, in agricultural systems, for security systems, for university monitoring systems, and more.

The volume also provides a theoretical analysis and discussion of the factors influencing smart sensing, exploring the state-of-the-art IoT elements that are designed to be analogous to WSNs. It looks at advancements in IoT systems along with a two-way usage with wireless sensor networks that span the gap between the physical and virtual worlds, leading to a hyperconnected society where devices are not only used to exchange data but also are smart devices with more capabilities.

The chapters reveal how these technologies are used in smart homes, for intelligent sensor-based cognitive radio networks, for different techniques for data fusion, for the synthesis and fabrication of nanosensor devices for monitoring agricultural nutrient levels, and more. Furthermore, the fake user problems in WSNs are also investigated with a note on the current trends and the newer trends to come in near future.

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Informazioni sull?autore

Anamika Ahirwar, PhD, is Associate Professor and Head, Computer Science Department at the Compucom Institute of Information Technology and Management, Jaipur Rajasthan, India. She has published many books and papers in national and international journals and conferences. Her research in on medical imaging, data mining, celestial sound, IoT, and machine learning. She is a reviewer and an editorial board member of IEEE conferences and other international journals. Dr. Ahirwar has guided many research projects. She ahbeen awarded a National Eminent Researcher Award, National Eminent Academic Influencer Award, and an Academic ICON Award Shikshak.

Piyush Kumar Shukla, PhD, is Associate Professor in the Department of Computer Science and Engineering at the University Institute of Technology-Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has over 15 Years of Experience in Teaching and Research. His research interests include white-box cryptography, information security and privacy, cybersecurity, dynamic wireless networks, machine learning, image processing, blockchain, and IoT. He has published books, book chapters, and journal papers with international publishers. He has published several Indian patents and has delivered expert/guest lectures and chaired sessions at IEEE and other international conferences.

Prashant Kumar Shukla, PhD, is Assistant Professor at the JLU School of Engineering & Technology, Bhobal, India. He has been in research, teaching, and industry for over 19 years. His research areas include machine learning, deep learning, computer vision, IoT, etc. He has published 23 patents to date as well as over 20 research papers in various national and international journals and conferences. Dr. Shukla participated as a mentor at the Smart India Hackathon (Hardware Edition) 2018. He is a member of the Tuning India project and is on the editorial and review boards of national and international journals.

Ruby Bhatt, PhD, is associated with Medicaps University, Indore, India, as Assistant Professor in the Department of Computer Science. She has over 19 years of academic experience at universities and colleges in India. Her area of interest includes wireless sensor networks, security issues in sensor networks, artificial intelligence, and data mining and analytics. She has also been working on a fruit fly optimization algorithm. She ahs attended many national and international conferences and has resesarch publications to her credit. She has authored journal and conference papers on security issues in wireless sensor networks and optimization techniques.

Dettagli dell?edizione

• Editore: Apple Academic Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1774913232
• ISBN 13: 9781774913239
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 306
• Redattore: Ahirwar Anamika, Shukla Piyush Kumar, Shukla Prashant Kumar, Bhatt Ruby
• Contatto del produttore: non disponibile