Imputation of missing sensor data values using in-exact replicas
Michael W. Bigrigg, H. Scott Matthews, James H. Garrett · International Journal of Intelligent Systems Technologies and Applications · 2009
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.