Recursive Bayesian Approaches for Auto Calibration in Drift Aware Wireless Sensor Networks

Date Added: Jul 2010
Format: PDF

The purpose for wireless sensor networks is to deploy low cost sensors with sufficient computing and communication capabilities to support networked sensing applications. Even when the sensors are properly calibrated at the time of their deployment, they develop drift in their readings leading to biased sensor measurements. Noting that a physical phenomenon in a certain area follows some spatio-temporal correlation, the authors assume that the sensors readings in that area are correlated. They also assume that the instantiations of drifts are uncorrelated.