Real-time Data Recovery using Multi-directional LSTM in Wireless Sensor Networks

다국어 초록 (Multilingual Abstract)

In this paper, an algorithm to recover missing data from the sensor in real-time is proposed. Since missing sensor data is a crucial issue in Industrial Internet of Things (IIoT), we employ two different long short-term memory (LSTM) algorithms to handle this issue. The unidirectional LSTM constantly estimates the upcoming data by learning from the previous information, while bidirectional LSTM utilize both past and future information to estimate the missing data. When the system does not receive the data from the sensor devices, the algorithms fill in the missing data based on the predicted value automatically. According to the simulation results, the proposed scheme significantly surpasses the previous works in terms of loss value.