Optimization Transmission Schedule based on Information Value in Remote State Estimation

In this paper, the issue of designing transmission schedule for remote state estimation system for multiple dynamical processes is investigated. As the limited capacity of wireless channel, it is no possible that all observation information can be transmitted at any time. Furthermore, the information value of each observation information can be realized at the estimator is different. For this consideration, the problem of sensor selection, aiming to maximize the system performance is studied. We first formulate this problem as an integer programming problem to derive the optimal transmission strategy, and the penalty function method is utilized to reduce such problem as unconstrained one. Then, the ant colony optimization policy is utilized to optimize the transmission schedule. Lastly, numerical results are given to validate the effectiveness of the proposed algorithm.