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Fuzzy packet size optimization for delay sensitive traffic in ad hoc networks

机译:Ad hoc网络中对时延敏感流量的模糊数据包大小优化

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In this paper is considered optimal packet size definition for delay sensitive traffic in WLAN based ad hoc networks. The aim of the paper is to introduce a fuzzy set theory based online sample size definition model, which optimize packet size of delay sensitive traffic for prevailing network conditions. The selected input parameters for the model are a packet error rate (PER) and a change of PER. The model was validated by simulating delay sensitive VoIP traffic. The results prove that the WLAN based ad hoc network with AODV routing and VoIP transactions has an optimal packet size. The results also demonstrate that the developed fuzzy model is able to set sample size values to the prevailing optimum level very fast.
机译:本文考虑了基于WLAN的ad hoc网络中对延迟敏感的流量的最佳数据包大小定义。本文的目的是介绍一种基于模糊集理论的在线样本大小定义模型,该模型针对流行的网络条件优化时延敏感流量的数据包大小。为模型选择的输入参数是数据包错误率(PER)和PER的变化。该模型通过仿真对延迟敏感的VoIP流量进行了验证。结果证明,具有AODV路由和VoIP事务的基于WLAN的自组织网络具有最佳的数据包大小。结果还表明,所开发的模糊模型能够非常快速地将样本大小值设置为当前的最佳水平。

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