Virtual Queue Based Distributed Data Traffic Scheduling for Cyber Physical Systems with Application in Smart Grid

Communication is needed in cyber physical system (CPS) to convey information from sensors to controllers. In this paper, a wireless network is considered to serve as the communication infrastructure in CPS. The data traffic scheduling problem is studied for the purpose of system state stabilization. To measure the information amount of different packets, a virtual queue is defined based on the Delay-tolerant Kalman filtering. A back pressure scheduling algorithm is proposed for the virtual queues. The proposed scheduling algorithm is then applied in the context of voltage control in smart grid. Numerical simulations are carried out to demonstrate the validity of the scheduling algorithm.