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On the impact of IEEE 802.11 MAC on traffic characteristics

机译:关于IEEE 802.11 MAC对流量特性的影响

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IEEE 802.11 medium access control (MAC) is gaining widespread popularity as a layer-2 protocol for wireless local-area networks. While efforts have been made previously to evaluate the performance of various protocols in wireless networks and to evaluate the capacity of wireless networks, very little is understood or known about the traffic characteristics of wireless networks. In this paper, we address this issue and first develop an analytic model to characterize the interarrival time distribution of traffic in wireless networks with fixed base stations or ad hoc networks using the 802.11 MAC. Our analytic model and supporting simulation results show that the 802.11 MAC can induce pacing in the traffic and the resulting interarrival times are best characterized by a multimodal distribution. This is a sharp departure from behavior in wired networks and can significantly alter the second order characteristics of the traffic, which forms the second part of our study. Through simulations, we show that while the traffic patterns at the individual sources are more consistent with long-range dependence and self-similarity, in contrast to wired networks, the aggregate traffic is not self-similar. The aggregate traffic is better classified as a multifractal process and we conjecture that the various peaks of the multimodal interarrival time distribution have a direct contribution to the differing scaling exponents at various timescales.
机译:作为无线局域网的第2层协议,IEEE 802.11媒体访问控制(MAC)获得了广泛的普及。尽管先前已经做出努力来评估无线网络中各种协议的性能并评估无线网络的容量,但是对于无线网络的流量特性了解甚少。在本文中,我们解决了这个问题,并首先建立了一个分析模型,以描述使用802.11 MAC的具有固定基站或ad hoc网络的无线网络中流量的到达时间间隔分布。我们的分析模型和支持的仿真结果表明,802.11 MAC可以引起流量起搏,并且通过多峰分布可以最好地描述到达的到达时间。这与有线网络的行为大相径庭,并且可以显着改变流量的二阶特征,这构成了我们研究的第二部分。通过仿真,我们显示,尽管各个来源的流量模式与远程依赖性和自相似性更加一致,但与有线网络相比,总流量却不是自相似的。总交通量可以更好地归类为多重分形过程,我们可以推测,多峰到达时间间隔分布的各个峰值对不同时间尺度上的不同比例指数具有直接贡献。

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