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A Study on the Binary Exponential Backoff in Noisy and Heterogeneous Environment

机译:嘈杂与异构环境中二元指数退避的研究

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Recently, some proposals have suggested that maintaining the same contention window (CW), or reducing it, for nodes suffering packet losses, due to channel transmission impairments, is effective in increasing the performance of the IEEE 802.11 in noisy environment. Our study presented inhere will prove analytically and via simulations that this should not be necessarily the case. To facilitate our analysis, we consider two binary exponential backoff (BEB) algorithms in our study: a standard BEB where a host increases its CW upon every packet loss (collision or transmission error) and another access method with a capability to differentiate between the type of losses; here, a host experiencing a loss will increase its CW only after a collision and remain in the same backoff stage otherwise. We show that the second access procedure outperforms the standard BEB when the network is lightly loaded. However, in a congested network, this quick recovery property results in intensifying the collisions among contending nodes and hence yields a poor system performance. We propose a hybrid method that takes advantage of both access methods to achieve better throughput under various network loads.
机译:最近,一些提案建议,由于信道传输损伤,维持相同的争用窗口(CW),或减少遭受分组损失的节点,在增加IEEE 802.11在嘈杂环境中的性能方面是有效的。我们的研究提出了反对将在分析上证明和通过模拟,这不一定是如此。为了促进我们的分析,我们考虑我们的研究中的两个二进制指数退避(BEB)算法:一个标准的BEB,其中主机在每个数据包丢失(碰撞或传输错误)上增加其CW,另一个访问方法具有区分类型的功能损失;这里,遇到损失的主机将仅在碰撞之后增加其CW并且否则仍然存在于相同的退避阶段。我们表明,当网络被轻轻加载时,第二次访问过程胜过标准BEB。然而,在拥挤的网络中,这种快速恢复属性导致竞争节点之间的碰撞加剧,因此产生了较差的系统性能。我们提出了一种混合方法,该方法利用两个访问方法来实现各种网络负载下的更好的吞吐量。

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