Journal
ELECTRONICS
Volume 11, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/electronics11060926
Keywords
time-sensitive networking; automotive ethernet; traffic scheduling; genetic algorithm; in-vehicle network
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Funding
- National Research Foundation (NRF), Korea, under project BK21 FOUR (Smart Robot Convergence and Application Education Research Center)
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This paper proposes a scheduling method using genetic algorithm to optimize time-critical traffic in automotive Ethernet networks. The method aims to minimize end-to-end delay, jitter, and bandwidth utilization by generating a transmission schedule, considering these indicators simultaneously.
In this paper, we proposed a scheduling method to optimize a time-critical traffic using genetic algorithm in automotive ethernet networks. The proposed traffic scheduling method aims to generate a transmission schedule to minimize end-to-end delay, variation of reception time at the destination (jitter), and bandwidth utilization. These indicators should be simultaneously considered when generating a schedule since they are closely related to the performance of the networks. However, it is not easy to schedule the traffic considering these indicators together since they have different sizes and units. To solve this problem, the fitness function to evaluate performance of a chromosome has normalized indicators as parameters. A chromosome in the genetic algorithm consists of genes containing information (size, transmission period, and network delay) of messages to be scheduled. Finally, the applicability of the proposed schedule optimization method was examined by simulating an extended automotive Ethernet network for an autonomous vehicle.
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