空军工程大学学报（自然科学版）2012，Vol.13Issue(3)：70-74,5.DOI:10.3969/j.issn.1009-3516.2012.03.015
基于模糊单类支持向量机的丢包区分算法
Loss Differentiation Algorithm Based on Fuzzy One-class Support Vector Machine
摘要
Abstract
The use of the existing Loss Differentiation Algorithms (LDA) cannot get prior knowledge from actual networks, so the algorithms can hardly be generalized to various environments. To solve this problem, a new LDA is proposed by enhancing the Fuzzy One - class Support Vector Machine ( FOCSVM). The new LDA converts the differentiation packet loss between congestion and bit error on wireless links into judging that whether the loss is because of bit error. The training set consists of only the in - sequence packets received by the receiver, so the classification model can be got and updated during the session, without the prior knowledge about the two types of loss, which makes the LDA have fine generalization. Simulation results show that the proposed LDA has good differentiation accuracy and can enhance the utilization of resources in wireless networks.关键词
拥塞控制/丢包区分/支持向量机/模糊隶属度Key words
congestion control/ loss differentiation/ support vector machine/ fuzzy membership分类
计算机与自动化引用本文复制引用
麻海圆,孟相如,李哲,温祥西,朱子健..基于模糊单类支持向量机的丢包区分算法[J].空军工程大学学报（自然科学版）,2012,13(3):70-74,5.基金项目
陕西省自然科学基础研究计划资助项目(SJ08F14 （）
2009JQ8008) （）
