Efficient spatial data recovery scheme for cyber-physical system

Feedback data loss can severely degrade the overall system performance and as well as it can affect the control and computation of the Cyber-physical System (CPS). Therefore, incomplete feedback makes a great challenge in any uncertain condition to maintain the real-time control of the CPS. In this paper, we propose a data recovery scheme, called Efficient spatial data recovery (ESDR) scheme for CPS to minimize the error estimation and maximize the accuracy of the scheme. In this scheme, we also present an algorithm with Pearson correlation coefficient (PCC) to efficiently solve the long consecutive missing data. Numerical results reveal that the proposed ESDR scheme outperforms both weighted prediction (WP) and spatial temporal imputation (STI) algorithms regardless of the increment percentage of missing data in terms of the root mean square error, mean absolute error and integral of absolute error.