Wireless Sensor and Actuator networks with matrix completion techniques for link estimation and missing value predictions

With the determining factor of actuation from data provided via wireless sensor and actuator networks has been subjected to missing data due to various reasons in wireless network trans mission. The terrain of co-localized sensors are utilized in conventionally predicting or estimating the values. This research work proposes a matrix completion missing values in wireless sensor and actuator networks (MCMV-WSAN) of appropriate correlation index for estimating the missing components. Updating the bias of sensors associated with actuator provides enormous information about data transfer. It also ensures that, the missing value has been predicted by involving the correlation of co-located sensors and its appropriate time. Assessment of the proposed work has been performed via network simulation for analyzing missing detection, root mean square error and energy efficiency.