Imputation of missing sensor data values using in-exact replicas
by Michael W. Bigrigg, H. Scott Matthews, James H. Garrett
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 7, No. 1, 2009

Abstract: Sensor network systems attempt to exploit redundancy which is assumed to be inherent in a pervasive sensor network due to the density of the sensor nodes. However, there is a lack of sensor data stream correlation between seemingly redundant sensors. The approach presented the uses and prediction techniques that have been used to anticipate a sensor value using its own history, to allow one sensor to be able to anticipate the data from another different sensor, given a historical stream of data from the sensor to be anticipated. The specific mechanisms explored are artificial neural networks, pattern recognition and multivariate polynomial regression.

Online publication date: Tue, 12-May-2009

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