Model-driven data cleaning for signal processing system in sensor networks

The recent advances in sensor technologies have made these small, tiny devices much cheaper and convenient to use in many different applications, for example, the weather and environmental monitoring fields, the hospital and factory operation sites, on the traffic road and moving vehicles and so on. Data loss and corruption is inevitable in wireless sensor networks due to the wireless interference, limited sensor power and outlier from malicious electronic devices and so on. Therefore, before processing sensor data in different wireless sensor network applications, certain data cleaning steps need to be performed to ensure the data quality, such as dealing with outliers, missing sensor readings, and noisy data. In this paper, we discuss the issues need to be considered in the data cleaning steps of this integrated data cleaning model for signal processing in wireless sensor networks. We also present an integrated model for data cleaning on signal processing systems in wireless sensor network to deal with different data cleaning problems.