Optimal energy allocation based on SINR under DoS attack

According to signal to interference plus noise ratio (SINR) of channel, we consider optimal attack schedule against remote state estimation in cyber–physical systems (CPSs) under denial of service (DoS) attack. Each physical process has a smart sensor that acquires the measurement of the system and transmits its local state estimation to the remote estimation terminal through a wireless channel. At each time step, a DoS attacker can send a jamming attack to one of the two channels. On the side of the attacker, this paper aims to search an optimal strategy, which maximizes the estimation error of the remote estimator. We propose an algorithm to obtain the optimal attack schedule policy by using of Markov decision process (MDP). A numerical example is provided to demonstrate the effectiveness of the proposed methods.