Temperature Control Framework Using Wireless Sensor Networks and Geostatistical Analysis for Total Spatial Awareness

This paper presents a novel framework for intelligent temperature control in smart homes using Wireless Sensor Networks (WSN) and geostatistical analysis for total spatial awareness. Sampled temperature readings from sensor nodes have the ability to inform the system on temperatures at specific locations. However, these locations where readings are taken do not completely describe the area under consideration. To solve this issue, geostatistical techniques are utilized, which include variography and kriging to predict temperature where measurements are not available. This added information would allow the system to control cooling and heating mechanisms in buildings at every location for improved user comfort.