Imputation of missing sensor data values using in-exact replicas. (13th May 2009)

• Record Type: Journal Article
• Authors: Bigrigg, Michael W.; Matthews, H. Scott; Garrett, James H.
• Is Part Of: International journal of intelligent systems technologies and applications. Volume 7:Number 1(2009)
• Page Start: 4
• Page End: 23
• Publication Date: 2009-05-13
• Subjects: imputation -- infrastructure management -- missing data -- redundancy -- replicas -- sensor data -- sensor networks -- sensor values -- artificial neural networks -- ANNs -- pattern recognition -- multivariate polynomial regression -- data stream correlation; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 006.3
• Languages: English
• ISSNs: 1740-8865

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.