A Beginner’s Guide to Data Agglomeration and Intelligent Sensing

Author: Amartya Mukherjee

A Beginner’s Guide to Data Agglomeration and Intelligent Sensing provides a comprehensive overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book commences with a succinct introduction on sensors and transducers, offering readers insight into the diverse types of sensors and how one can work with them. In addition, it presents several real-life examples to aid readers in properly understanding concepts.

Furthermore, the book provides an overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture. It also delves into data gathering in wireless sensor networks and aggregation procedures. The latter sections of the book explore how to process gathered data and relay the data in an intelligent manner, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining, and smart systems.

A Beginner’s Guide to Data Agglomeration and Intelligent Sensing presents the latest advances in data agglomeration for intelligent sensing. It discusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor Networks. This book provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud, and Machine Learning.

Product Details:

Publisher: Elsevier Science

Publication Date: February 19, 2020

Language: English

ISBN: 9780128203415, 9780128203453