engleski

GA-based On-line Optimization of CAN Message Scheduling

In this paper we describe a design and implementation of an on-line scheduling algorithm for Controller Area Network (CAN) messages that exploits properties of genetic algorithms (GA) to achieve global message throughput optimization. The use of GA-based scheduler has been found effective even in time-critical distributed control systems, such as the considered control system that encompasses several control subsystems at the fire fighting vehicle. The experimental results show that the GA-optimized CAN message scheduler considerably decreased the average message queuing time.

CAN; genetic algorithms; on-line scheduling; fire fighting vehicle

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