Data Quality Driven Sensor Reporting

Within the field of event driven data reporting from wireless sensor networks, reducing energy consumption is an ongoing problem. Using an application's tolerance toward data imprecision (or, data quality) allows energy savings, via fewer messages sent, through the selection of how and when to send sensor readings. This paper is an early work that examines pushing or pulling data depending on which approach is expected to send fewer messages, based upon the recent history of application requests for a sensor and the changes of the sensor values predicted by application specific models. The simulation results indicate that our method is more efficient relative to the push only or pull only methods for situations where application request frequency or data change rate is variable or unknown.