Optimal noise injection energy allocation and collection of energy harvesting attacker under quality-changeable environment
摘要
This study investigates the optimal energy allocation and collection strategy of an active attacker in an RSE system. The APT attacker is powered by an energy-harvesting battery in a quality-changeable environment, aiming to maximize the average estimation error of the RE. We transform the original problem into an MDP problem and prove that the optimal stationary policy exists and exhibits structural properties, extending it to more general situations, thereby reducing the complexity of this problem.