Reliable State Estimation Over Energy-Harvesting Decode-and-Forward Relay Networks: Dealing With Successive DoS Attacks

Abstract

In this article, we investigate the reliable state estimation problem of cyber–physical systems (CPSs) over energy-harvesting decode-and-forward (DaF) relay channels. To extend the transmission distance and improve the reliability of measurement signal delivery, a DaF relay is deployed in the sensor-estimator communication network. The relay node is equipped with energy-harvesting technology to collect ambient energy. During measurement signal transmission, successive denial-of-service attacks may cause packet dropouts, which are transformed into bounded stochastic input delays of the measurements. This article aims to design a remote state estimator that guarantees the augmented dynamics to be exponentially ultimately bounded in the mean-square sense. Sufficient conditions for the existence of the desired state estimator are provided through dynamical stability theory and inequality techniques. The estimator gain is determined by solving a series of matrix inequalities. Finally, the validity of the proposed reliable estimator is verified through two simulation examples.