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Fuzzy Packet Size Optimization for Delay Sensitive Traffic in Ad Hoc Networks

机译:临时网络延迟敏感流量的模糊分组大小优化

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摘要

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:本文认为基于WLAN的ad Hoc网络中的延迟敏感流量的最佳分组大小定义。本文的目的是引入基于模糊的集合理论的在线样本大小定义模型,其优化了延迟敏感流量的延迟敏感流量的数据包大小。模型的所选输入参数是数据包错误率(每个)和每个的更改。通过模拟延迟敏感VoIP流量来验证该模型。结果证明,基于WLAN的ADV路由和VoIP事务的临时网络具有最佳的数据包大小。结果还表明,发达的模糊模型能够非常快速地将样本尺寸值设置为普遍的最佳水平。

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