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首页> 外文期刊>Asian Journal of Control >FLEXIBLE FUZZY PRIORITY SCHEDULING OF THE CAN BUS
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FLEXIBLE FUZZY PRIORITY SCHEDULING OF THE CAN BUS

机译：CAN总线的柔性模糊​​优先级调度

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摘要

With the increasing complexity of distributed real-time systems, the need for improved CAN bus performance is continually increasing. Normally, a scheduling scheme with static-priority has low network schedula-bility/utilization; while using dynamic priority will improve the QoS of the network at the cost of a narrow service range or a high overhead, compared with the fixed priority scheduling schemes. Actually, because of the fluctuation of network traffic, these priority policies may not guarantee flexibility for different kinds of messages. Based on the broadcast nature of the CAN bus, a closed-loop fuzzy scheduling scheme is proposed in this paper. Compared with the dynamic priority schemes, this fuzzy scheduling scheme uses fewer bits to encode fewer priority levels, which widens the service range of the network without increasing overhead. Based on game theory, a fuzzy parameter updating algorithm for the fuzzy scheme is developed to improve the adaptation of the scheme, which guarantees the required QoS of the network even with traffic fluctuation. Simulation results well demonstrate the abilities of the fuzzy scheme to guarantee high schedulability for real-time messages, as well as the fairness and the same QoS for non-real-time messages in networks.
机译：随着分布式实时系统复杂性的提高，对改进CAN总线性能的需求也在不断增加。通常，具有静态优先级的调度方案具有较低的网络调度能力/利用率。与固定优先级调度方案相比，使用动态优先级将以狭窄的服务范围或高开销为代价提高网络的QoS。实际上，由于网络流量的波动，这些优先级策略可能无法保证针对各种消息的灵活性。基于CAN总线的广播特性，提出了一种闭环模糊调度方案。与动态优先级方案相比，该模糊调度方案使用较少的比特来编码较少的优先级，从而在不增加开销的情况下扩展了网络的服务范围。基于博弈论，开发了一种模糊方案的模糊参数更新算法，以提高方案的适应性，即使在流量波动的情况下，也能保证所需的网络QoS。仿真结果很好地证明了模糊方案能够保证实时消息的高可调度性，以及网络中非实时消息的公平性和相同的QoS。

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