【摘要】：為了有效提升非結(jié)構(gòu)化離散網(wǎng)絡(luò)的傳輸質(zhì)量,需要進(jìn)行非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)。但是采用當(dāng)前方法進(jìn)行非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)時(shí),忽略了網(wǎng)絡(luò)傳輸信道和路徑間的干擾影響,存在路徑預(yù)測(cè)誤差大的問(wèn)題。為此,提出一種基于支持向量機(jī)回歸的非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)方法。方法先采用測(cè)量往返時(shí)延的基本思想進(jìn)行非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑時(shí)延測(cè)量,得到網(wǎng)絡(luò)傳輸路徑時(shí)延的抖動(dòng)值,計(jì)算出網(wǎng)絡(luò)傳輸路徑的丟包率,獲取發(fā)送端在網(wǎng)絡(luò)傳輸路徑上發(fā)送的最大數(shù)據(jù)量,在得到群數(shù)據(jù)包延遲序列后,對(duì)非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)問(wèn)題進(jìn)行建模,結(jié)合支持向量機(jī)回歸理論對(duì)模型進(jìn)行求解,有效完成了對(duì)非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)。仿真證明,所提方法能夠有效提升非結(jié)構(gòu)化離散網(wǎng)絡(luò)傳輸路徑預(yù)測(cè)精度,且預(yù)測(cè)效率較高。
[Abstract]:In order to effectively improve the transmission quality of unstructured discrete networks, it is necessary to predict the transmission paths of unstructured discrete networks. However, when the current method is used to predict the transmission path of unstructured discrete networks, the interference between network transmission channels and paths is ignored, and there is a problem of large path prediction error. In this paper, an unstructured discrete network transmission path prediction method based on support vector machine regression is proposed. Methods firstly, the basic idea of measuring round-trip delay is used to measure the transmission path delay of unstructured discrete networks, the buffeting value of network transmission path delay is obtained, the packet loss rate of network transmission path is calculated, and the maximum amount of data sent by the sender on the network transmission path is obtained. after the group packet delay sequence is obtained, the transmission path prediction problem of unstructured discrete network is modeled. Combined with support vector machine regression theory, the model is solved, and the transmission path prediction of unstructured discrete networks is completed effectively. Simulation results show that the proposed method can effectively improve the accuracy of transmission path prediction in unstructured discrete networks, and the prediction efficiency is high.
【作者單位】： 西北政法大學(xué)商務(wù)安全研究所;
【分類(lèi)號(hào)】：TP393.0

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