Distributed Data Traffic Scheduling With Awareness of Dynamics State in Cyber Physical Systems With Application in Smart Grid

Abstract

The design of communication infrastructure in cyber physical system (CPS) is of vital importance for proper operations of physical dynamics. In this paper, the scheduling of packet transmission over wireless communication networks in CPS is studied for the purpose of system state stabilization. To measure the effective information amount of different packets, the concept of virtual queue (VQ) is defined based on the delay-tolerant Kalman filtering. VQ-based back pressure algorithm is proposed for the distributed data traffic scheduling. The impact of transmission delays on VQ lengths is also studied for the formulation of distributed scheduling strategy. The scheduling method is then applied in the context of voltage control in microgrid and is demonstrated to achieve better performance than general scheduling algorithm without the awareness of dynamics state. Further numerical simulations of data traffic scheduling considering transmission delay are carried out to demonstrate the validity of the scheduling algorithm, which is established according to VQ lengths affected by transmission time delays.