一种基于误码特征的802.11 WLAN包丢失原因推断方法

发布时间：2018-02-28 10:20

本文关键词： WLAN 丢包误码特征误差向量幅度贝叶斯分类　出处：《中南大学学报(自然科学版)》2014年05期 　论文类型：期刊论文

【摘要】：提出一种改进的基于误码特征的802.11 WLAN误码丢包原因判别方法。利用误码包末尾比特误码概率更高的特点,只回送末尾1 500 bit进行误码特征分析;通过理论分析和实验验证,引入区分效果较好的误差向量指标;并在获得误码特征指标集后使用贝叶斯分类算法进行丢包原因判别。研究结果表明:与COLLIE相比,本文方法的判别精度提高,准确性提高约5.3%,假阳性率降低约4.8%,假阴性率降低约10.5%,而通信开销则降低约50%,表明本文方法可更高精度、低开销地实时判别WLAN误码丢包原因。
[Abstract]:An improved method for identifying the cause of error loss in 802.11 WLAN based on error characteristics is proposed. Using the higher bit error probability at the end of the packet, only 1 500 bit is sent back to the end of the packet to analyze the error feature, which is verified by theoretical analysis and experiment. The error vector index with good discrimination effect is introduced, and the Bayesian classification algorithm is used to distinguish the cause of packet loss after obtaining the set of error character indexes. The research results show that the accuracy of this method is higher than that of COLLIE. The accuracy is improved about 5.3, the false positive rate is decreased about 4.8, the false negative rate is reduced about 10.5, and the communication overhead is reduced by about 50. The results show that the method in this paper can be used to determine the reason of WLAN error packet loss in real time with higher accuracy and lower cost.
【作者单位】：湖南城市学院信息科学与工程学院;湖南大学信息科学与工程学院;成都工业学院通信工程系;
【基金】：国家自然科学基金资助项目(61173168) 湖南省科技计划项目(2012FJ3024) 中央高校基本科研业务费项目(2014年) 湖南省普通高校青年骨干教师培养计划项目(2014年)
【分类号】：TN925.93

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