Information Extraction for IoT-based Indoor Monitoring Platform using Big Data Analysis

Abstract

Nowadays, the Internet of Things (IoT)-based devices almost deployed anywhere in our daily life gradually. Hence, the emerging problem is that what can we derived from huge data collected by these IoT-based devices, and data cross-validation among multiple sources. Actually, the data gathered by these sensors of IoT-based devices, such as temperature, pressure, humidity, etc., contains tremendous information about the weather variations, power consumption, and also human behaviors. In this work, based on IoT-based indoor monitoring platform deployed by ourselves, we extracted some interesting and valuable information by using big data analysis, and discussed the tradeoff between accuracy of information and complexity of algorithms. This work indicated that our proposed information exaction method has vital values for better remote control on indoor environment further.