Optimal resource allocation in networked control systems

Abstract

This study proposes an optimal bandwidth allocation algorithm for a Networked Control System (NCS) that includes a time-driven sensor, event-driven controller and random channels. The authors predict resource demands at the next time step for the random channels, then calculate the resource demands from the event-driven and the time-driven channels. They allocate bandwidths for each channel by solving a convex optimisation problem based on the resource demands. When the total traffic exceeds the total capacity of the network, only the random and event-driven network bandwidths are allocated optimally. For time-driven channels, they increase the sampling period to reduce traffic volume and satisfy the total capacity constraint. This maintains sufficiently slow sampling to improve the quality of service in NCS. An upper bound on the sampling period is set to guarantee sufficiently fast sampling for control dynamics. Simulation results show that the proposed approach minimises network congestion.

Keywords

• networked control systems
• convex programming
• bandwidth allocation
• telecommunication traffic
• optimisation
• quality of service
• resource allocation
• networked control systems
• optimal bandwidth allocation algorithm
• networked control system
• ncs
• time-driven sensor
• event-driven controller
• random channels
• resource demands
• time-driven channels
• total traffic
• random event-driven network bandwidths
• sampling period
• total capacity constraint
• control dynamics
• approach minimises network congestion
• optimal resource allocation