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Conference Paper Just Send Me the Summary! Analyzing Sensor Data for Accurate Summary Reports in Indoor Environments
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Authors
JeongGil Ko, Jongjun Park, Jong Arm Jun, Naesoo Kim
Issue Date
2012-11
Citation
Conference on Embedded Networked Sensor Systems (Sensys) 2012, pp.325-326
Language
English
Type
Conference Paper
Abstract
As the number of sensors increase in wireless sensing applications, it is important for nodes to provide meaningful summary reports of the original data to the gateway. In doing so, given the resource constraints of the sensing devices, we need a lightweight, yet, effective scheme to minimize the number of reports at the sensors while preserving the accuracy of the original data. However, we show in this work that unlike outdoors environments where various sensors may show a similar phenomena (e.g., high spatial correlation), this may not be true for sensors deployed in a typical indoors environment. To resolve this issue, we introduce a data summarizing scheme for such indoor applications that combines two techniques. First, our scheme detects events in a data stream by comparing the short term mean of the recent measurements with the most recent report sent to the gateway. Second, we include an exponentially increasing/decreasing timer that triggers additional reports where the timer’s interval is reconfigured dynamically with respect to the result of our event detection method. Evaluations with temperature and humidity data collected in an indoors environment indicate that our scheme significantly reduces the number of transmissions while maintaining a mean error as low as ∼0.07◦C and ∼0.08%RH.
KSP Keywords
Data collected, Data stream, Detection Method, Indoor applications, Indoor environment, Mean Error, Number of transmissions, Sensing applications, Sensing device, event detection, resource constraints