有损无线网络中自适应聚合机制(AAM)的性能

Jianhua Deng, M. Davis
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引用次数: 4

摘要

自适应分组聚合算法AAM已被证明具有优于FIFO算法的性能,因为对于给定的平均延迟值,将更大的平均子数据包组装成聚合数据包。这里,我们将展示AAM算法在实现无线网络中最大平均吞吐量和最小平均延迟的聚合权衡方面比FIFO算法具有优越的性能,因为AAM聚合包的平均大小大于FIFO聚合包的平均大小。该分析基于ns-3仿真,包括在无损和有损信道条件下的操作,其中包括PHY速率自适应方案的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The performance of the adaptive aggregation mechanism (AAM) in lossy wireless networks
The adaptive packet aggregation algorithm AAM has been shown to have a superior performance over the FIFO algorithm in terms of a greater average number of sub-packets assembled into an aggregate packet for a given value of average delay. Here, we will show that the AAM algorithm has a superior performance compared to the FIFO algorithm in terms of the aggregation trade-off in achieving the maximum average throughput with the minimum average delay in wireless networks as the average size of an AAM aggregate packet is larger than that of a FIFO aggregate packet. The analysis is based upon ns-3 simulation and includes operation under lossless and lossy channel conditions which includes the impact of PHY rate adaption scheme.
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