A review of missing sensor data imputation methods

Missing sensor data is inevitable to occur because of many reasons such as communication failure, hardware damage and run out of power. This missing sensor values can lead to several data analysis problems if it not handled properly. Missing data imputation can solve this issue. Imputation is the process of filling missing values with estimated values. Missing sensor data imputation methods have unique properties such as the pattern of missingness and various approaches to handle it. This paper survey several methods of missing sensor data imputation from various approaches. Then, advantages and drawbacks of these methods are observed to give a more detail view of the methods. Finally, trend and state of the art of the research in the field of missing sensor data imputation investigated to give direction for future research in this field. © 2019 IEEE.