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Effects of Retransmission Limit on the Performance of Centralized Random Backoff

机译:重发限制对集中随机退避性能的影响

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摘要

Previous studies showed that the packet collision probability in the 802.11 Distributed Coordination Function (DCF) can approach zero by adopting Centralized Random Backoff (CRB), which improves the total throughput performance. Moreover, it was reported that wireless networks using CRB maintain a high level of compatibility to legacy wireless local area networks (WLANs) when they coexist. However, little attention has been paid to relations between the performance of CRB and the retransmission limit, although the number of retransmission limit is an essential parameter that must be carefully chosen when implementing CRB for efficient WLANs. This article presents more realistic Markov chain models, and studies the impact of retransmission limit on the performance of CRB. These relations are also investigated by Monte Carlo simulation in more practical scenarios. Results show the trade-off that the total throughput increases with the retransmission limit when the number of nodes is larger than 15; whereas, the channel access opportunities in the mixed network scenario are more unevenly distributed between nodes as the retransmission limit increases. It is also shown in the simulation results that the throughput degradation caused by the hidden node problem is alleviated as the retransmission limit increases.
机译:以前的研究表明,802.11分布式协调函数(DCF)中的分组碰撞概率可以通过采用集中式随机退避(CRB)来接近零,这提高了总吞吐量性能。此外,据报道,当使用CRB共存时,使用CRB的无线网络维持对传统无线局域网(WLAN)的高水平兼容性。但是,在CRB的性能和重传限制之间的性能之间,虽然重传限制的数量是在实现高效WLAN的CRB时必须仔细选择的基本参数,但是一点关注。本文提出了更现实的马尔可夫链模型,研究了重传限额对CRB性能的影响。在更实际的场景中,蒙特卡罗模拟也调查了这些关系。结果表明,当节点数量大于15时,折衷总吞吐量随着重传限制而增加;虽然,随着重传限制的增加,混合网络场景中的频道访问机会更不平整地分布在节点之间。在模拟结果中,由于重传限制增加,由隐藏节点问题引起的吞吐量劣化被视为。

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