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Efficient Data Monitoring in Sensor Networks Using Spatial Correlation

  • Jun-Ki MinEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

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.

Keywords

sensor network data monitoring Kalman filter 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringKorea University of Technology and EducationChungNamRepublic of Korea

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