基于CSMA/CA的自组织网络的吞吐量建模和公平性问题

X. Wang, K. Kar
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引用次数: 287

摘要

本文研究了基于CSMA/CA的自组织网络的吞吐量建模和公平性分配问题。主要贡献有:首先,针对具有一般拓扑结构的CSMA/CA网络,提出了基于马尔可夫分析的吞吐量模型。仿真研究验证了其性能。其次,基于吞吐量模型讨论了CSMA/CA网络中的公平性问题。解释了不公平的起源,并说明了吞吐量与公平之间的权衡。第三,提出了基于局部拓扑信息的吞吐量近似,并对其性能进行了研究。第四,提出了三种不同的公平性指标,并提出了基于吞吐量近似的分布式实现方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Throughput modelling and fairness issues in CSMA/CA based ad-hoc networks
In this paper, we consider the throughput modelling and fairness provisioning in CSMA/CA based ad-hoc networks. The main contributions are: firstly, a throughput model based on Markovian analysis is proposed for the CSMA/CA network with a general topology. Simulation investigations are presented to verify its performance. Secondly, fairness issues in CSMA/CA networks are discussed based on the throughput model. The origin of unfairness is explained and the trade-off between throughput and fairness is illustrated. Thirdly, throughput approximations based on local topology information are proposed and their performances are investigated. Fourthly, three different fairness metrics are presented and their distributed implementations, based on the throughput approximation, are proposed.
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