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A Neural Network Based Technique for Establishing Priority In CSMA/CD Scheduling

机译:一种基于神经网络的CSMA/CD调度优先级确定技术

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Today, the most common local area network implementations are based on the CSMA/CD scheduling scheme. The commercial versions of the CSMA/CD based local area networks are known as Ethernets. The Ethernets provide fair, non-prioritized access to all stations on the network at all traffic loads, use a highly reliable bus topology, provide random access for all stations and employ a simple conflict resolution method of scheduling using the exponential truncated binary backoff method. In a CSMA/CD scheme, when a station needs to transmit, it simply starts sending packets of data. If no conflict is detected, transmission is assumed to be completed. In case of a conflict, all stations in the conflict, independently, calculate the amount of backoff time for scheduling retransmission. Normally, in data communications environments where some level of priority treatment of data or stations is needed, CSMA/CD based networks cannot be used. Therefore, a generalized approach to provide priority in CSMA/CD based networks has long been a subject of interest to researchers.
机译:如今,最常见的局域网实现基于 CSMA/CD 调度方案。基于 CSMA/CD 的局域网的商业版本称为以太网。以太网在所有流量负载下提供对网络上所有站点的公平、非优先访问,使用高度可靠的总线拓扑,为所有站点提供随机访问,并采用简单的冲突解决方法,使用指数截断二进制回退方法进行调度。在 CSMA/CD 方案中,当一个站点需要传输时,它只是开始发送数据包。如果未检测到冲突,则假定传输已完成。如果发生冲突,冲突中的所有站点将独立计算调度重传的回退时间量。通常,在需要对数据或电台进行某种优先级处理的数据通信环境中,不能使用基于 CSMA/CD 的网络。因此,在基于CSMA/CD的网络中提供优先级的通用方法长期以来一直是研究人员感兴趣的课题。

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