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A Beginner's Guide to Data Agglomeration and Intelligent Sensing
Provides a foundational overview of data agglomeration and intelligent sensing
Amartya Mukherjee (Author), Ayan Kumar Panja (Author), Nilanjan Dey (Author)
9780128203415, Elsevier Science
Paperback, published 24 February 2020
198 pages, 65 illustrations (35 in full color)
22.9 x 15.1 x 1.4 cm, 0.32 kg
"The book offers provides a concise treatment of the topic starting out with an overview of the various types of sensors and transducers and how they are used. I always find it easier to learn-by-example, and this book is nice because the authors provide a variety of good examples. Reading this book will provide you with descriptions and explanations of pertinent concepts like wireless sensor networks, cloud platforms, device-to-cloud and sensor cloud architecture but more importantly, it also describes how to gather and aggregate data from wireless sensor networks. If you or your organization are involved gathering data from sensors, such as in IoT systems, this book will be a great help to you as you design and implement your applications." --Data and Technology Today
A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems.
1. Introduction to Sensors and Systems2. Real life Application of Sensors and Systems3. Wireless Sensor Network: Principle and Application4. Overview of Sensor Cloud5. Sensor Data Accumulation Methodology6. Intelligent Sensor Network7. Conclusion
Subject Areas: Biomedical engineering [MQW]
