Editors:
- Presents recent research and the latest achievements in the field of smart sensor networks and their usage in related domains
- Covers network techniques and design and principles of smart sensor networks
- Presents a survey of technologies employed to smart sensor networks, data collection, data monitoring, control, and management
Part of the book series: Studies in Big Data (SBD, volume 92)
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Table of contents (9 chapters)
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Front Matter
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Smart Sensors and Devices in Artificial Intelligence
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Front Matter
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Impact of AI and Machine Learning in Smart Sensor Networks
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Front Matter
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Machine Learning Algorithms and Methodologies for Smart Sensor Networks
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Front Matter
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Data Analysis for Smart Sensor Networks
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Front Matter
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Machine Learning Applications for Smart Sensor Networks
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Front Matter
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Back Matter
About this book
This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks.
Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications.
This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.
Keywords
- Al
- Machine Learning
- Smart Sensor Networks
- Smart Sensors and Devices
- Data Analysis
- Machine Learning Algorithm
- Big Data
- Graph Powered Machine Learning
- Intelligence Applications
- Social and Intelligent Applications
- Data Management based Machine Learning Techniques
- Machine Learning Applications
- AI based Applications
Editors and Affiliations
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Institute of Technology and Science, Ghaziabad, India
Umang Singh
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Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA
Ajith Abraham
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Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania
Arturas Kaklauskas
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Department of Computer Science and Information Engineering, AI Research Center, National University of Kaohsiung, Kaohsiung, Taiwan
Tzung-Pei Hong
Bibliographic Information
Book Title: Smart Sensor Networks
Book Subtitle: Analytics, Sharing and Control
Editors: Umang Singh, Ajith Abraham, Arturas Kaklauskas, Tzung-Pei Hong
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-77214-7
Publisher: Springer Cham
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 Switzerland AG 2022
Hardcover ISBN: 978-3-030-77213-0Published: 02 September 2021
Softcover ISBN: 978-3-030-77216-1Published: 03 September 2022
eBook ISBN: 978-3-030-77214-7Published: 01 September 2021
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XIII, 227
Number of Illustrations: 23 b/w illustrations, 62 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Communications Engineering, Networks, Energy Systems