For delay analysis of packet delivery over a wireless link, several novel ideas are introduced. One is to construct an equivalent $G/G/1$ non-lossy queueing model to ease the analysis, enabled by exploiting empirical models of packet error rate, packet service time and packet loss rate obtained from measurement. The second is to exploit a classical queueing theory result to approximate the mean delay. For estimating the delay distribution, the newly developed stochastic network calculus (SNC) theory is made use of, forming the third idea. To enable this SNC based analysis, a stochastic service curve characterization of the link is introduced, relying on a packet service time model obtained from the empirical models. The focused link is a 802.15.4 wireless link. Extensive experimental investigation under a wide range of settings was conducted. The proposed ideas are validated with the experiment results. The validation confirms that the proposed approaches, integrating both empirical and analytical modes, are effective for service modeling and delay analysis. This suggests an integrated approach, now found previously, for quantitative understanding of the delay performance of packet delivery over a wireless link.
翻译:为了对无线链接的发货延误进行分析,引入了几个新想法。一个是建立相当于$G/G/1美元的非损失排队模式,以便通过利用从测量中获得的包错误率、包服务时间和包损失率的经验模型来进行分析。第二个是利用典型的排队理论结果来估计平均延迟率。在估计延迟分布时,新开发的随机网络微积分(SNC)理论被利用,形成第三个概念。为了能够进行这一基于SNC的分析,引入了一个对链接的随机服务曲线定性,依靠从经验模型中获得的包件服务时间模型。重点链接是802.15.4无线链接。在各种环境下进行了广泛的实验性调查。提议的构想与实验结果一起得到验证。验证证实,将实验和分析模式结合起来的拟议办法对服务建模和延迟分析都有效。这表明了一种综合方法,即以前发现的一种综合方法,用于对无线链接发货袋的延迟性表现进行定量理解。