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机构地区:[1]湖南城市学院信息科学与工程学院,湖南益阳413000 [2]湖南大学信息科学与工程学院,长沙410082
出 处:《小型微型计算机系统》2014年第5期1046-1050,共5页Journal of Chinese Computer Systems
基 金:国家自然科学基金项目(61173168)资助;湖南省科技计划项目(2011FJ3236)资助;湖南省科技计划项目(2012FJ3024)资助;湖南大学"青年教师成长计划"项目资助
摘 要:准确判别无线局域网的误码丢包原因是优化其性能的关键.现有COLLIE方法可实时判别WLAN的误码丢包原因,但存在通信开销大,判别准确度不高等问题.本文提出一种改进的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,实验验证了误码包末尾1500比特与误码包整体有相似的误码特征,故只回送末尾1500比特进行误码特征分析,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.实验结果表明,与COLLIE相比,本文方法的判别准确性提高约10%,而通信开销则降低约50%.Accurately judging the causes of bit-error packet loss in wireless LAN is important for WLAN performance optimization. The exist COLLIE method can do this work in real time, but it has problems such as large communication costs, low judgment accu- racy. This paper proposes an improved method for judging the causes of bit-error packet loss in 802.11 WLAN. It adopts the phe- nomenon that the ending bits in bit-error packets have higher error probability, and verifies by experiments that, the ending 1500 bits of error packet is similar with the whole error packet in error characteristics. So, it just sends the ending 1500 bits for analyzing bit- error characteristics, and adopts the Bayes classification algorithm for judging packet loss causes after bit-error characteristics metrics are obtained. Experiment results shows that, compared with COLLIE, accuracy of the improved method increases about 10%, while communication cost decreases about 50%.
关 键 词:802.11 WLAN 丢包 误码率 贝叶斯分类
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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