Learning automata–based multilevel medium access control in cyber physical system–based smart wireless networks,International Journal of Communication Systems

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Learning automata–based multilevel medium access control in cyber physical system–based smart wireless networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-03-09 , DOI: 10.1002/dac.4376
Kavitha S ₁ , Venkata Krishna P ₁ , Pounambal Muthukumar ₂

Affiliation

The performance of cyber physical system–based smart wireless networks depends on effective channel access by reducing the blocking, the dropping probability, and collisions. The aim of this proposed algorithm is to reduce the collisions in cyber physical system–based smart wireless networks. In this paper, multilevel medium access control in cyber physical system–based smart wireless networks is proposed. The optimal number of levels of gateways is determined using the concept of learning automata. Priority and time limit are assigned to every packet that is being transmitted. The proposed algorithm is evaluated and compared with two‐level medium access control in cyber physical system–based smart wireless networks, which is referred as priority with counter modified backoff (PCMB). The parameters used for evaluating the performance are throughput, delay, % of collisions, and number of packets dropped. The results project that the proposed algorithm accomplishes improved performance than PCMB.

中文翻译：

在基于网络物理系统的智能无线网络中学习基于自动机的多层媒体访问控制

基于网络物理系统的智能无线网络的性能取决于有效的信道访问，它可以减少阻塞，掉线概率和冲突。该算法的目的是减少基于网络物理系统的智能无线网络中的冲突。本文提出了基于网络物理系统的智能无线网络中的多级媒体访问控制。网关的最佳级别数是使用学习自动机的概念确定的。优先级和时间限制分配给正在传输的每个数据包。在基于网络物理系统的智能无线网络中，对提出的算法进行了评估，并与二级媒体访问控制进行了比较，这被称为具有计数器修改后退（PCMB）的优先级。用于评估性能的参数是吞吐量，延迟，冲突百分比和丢弃的数据包数量。结果表明，所提出的算法比PCMB具有更高的性能。

更新日期：2020-03-09

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