A Beginner’s Guide to Data Agglomeration and Intelligent Sensing

By Amartya Mukherjee, this book provides a comprehensive overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. It starts with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. The book also provides several real-life examples to help readers properly understand concepts.

Understanding Wireless Sensor Networks and Cloud Platforms

The book explains concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture briefly. It also delves into data gathering in wireless sensor networks and aggregation procedures.

Processing and Relaying Data

Final sections of the book 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.

Key Features

• Discusses the latest advances in data agglomeration for intelligent sensing
• Covers 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
• Provides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud, and Machine Learning

Publication Details: Publisher: Elsevier Science; Publication Date: February 19, 2020; Language: English; ISBN: 9780128203415, 9780128203453