Abstract
In order to reduce r the energy consumption of sensors, we present an approximate data gathering technique, called CMOS, based on the Kalman filter. The goal of CMOS is to efficiently obtain the sensor readings within a certain error bound. In our approach, spatially close sensors are grouped as a cluster. Since a cluster header generates approximate readings of member nodes, a user query can be answered efficiently using the cluster headers. Our simulation results with synthetic data demonstrate the efficiency and accuracy of our proposed technique.
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Min, JK. (2014). Efficient Data Monitoring in Sensor Networks Using Spatial Correlation. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_24
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DOI: https://doi.org/10.1007/978-3-642-40675-1_24
Publisher Name: Springer, Berlin, Heidelberg
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