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A comprehensive DCF performance analysis in noisy industrial wireless networks

机译:嘈杂的工业无线网络中的全面DCF性能分析

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摘要

The use of wireless technology in industrial networks is becoming more popular because of its flexibility, reduction of cable cost, and deployment time. Providing an accurate model to study the most important parameters of these networks, the timeliness and reliability, is essential in assessing the network metrics and choosing proper protocol settings. The Institute of Electrical and Electronics Engineers (IEEE) 802.11 is a common and established wireless technology, and several analytical models have been proposed to assess its performance; however, most of them are accurate only for a limited network situation, especially data networks that have large packet payloads and are used at high signal to noise ratios, and cannot be applied to study the performance of industrial networks that have short packet lengths and are used in harsh and noisy environments. In this paper, a novel three-dimensional discrete-time Markov chain model has been proposed for the IEEE 802.11-based industrial wireless networks using the distributed coordination function as the medium access control mechanism in the worst-case saturated traffic. It considers both causes of the backoff freezing: busy channel and the successive interframe space waiting time. In this way, it provides a much more accurate estimation of the channel access and error probabilities, resulting in a more accurate network parameter calculation. Also, based on the proposed model, a comprehensive packet delay analysis, including average, jitter, and cumulative distribution function, has been provided for the near 100% reliable industrial scenario and error-prone channel condition, which in comparison with similar pieces of work provides much more accurate results. Copyright © 2014 John Wiley & Sons, Ltd.
机译:由于其灵活性,电缆成本降低和部署时间短,在工业网络中无线技术的使用正变得越来越普遍。提供准确的模型来研究这些网络的最重要参数,及时性和可靠性,对于评估网络指标和选择适当的协议设置至关重要。电气和电子工程师协会(IEEE)802.11是一种常见且已建立的无线技术,已经提出了几种分析模型来评估其性能。但是,它们中的大多数仅在有限的网络情况下才是准确的,尤其是数据包有效载荷大且以高信噪比使用的数据网络,并且不能用于研究数据包长度短且性能不佳的工业网络的性能。在恶劣和嘈杂的环境中使用。本文针对在最坏情况下的饱和流量中使用分布式协调功能作为介质访问控制机制,针对基于IEEE 802.11的工业无线网络,提出了一种新颖的三维离散时间马尔可夫链模型。它考虑了退避冻结的两个原因:繁忙的信道和连续的帧间空间等待时间。这样,它提供了对信道访问和错误概率的更准确的估计,从而导致了更准确的网络参数计算。而且,基于所提出的模型,已经针对接近100%可靠的工业场景和容易出错的信道状况提供了包括平均,抖动和累积分布函数在内的全面的分组延迟分析,与类似的工作相比提供更准确的结果。版权所有©2014 John Wiley&Sons,Ltd.

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