本文選題：有線和無(wú)線網(wǎng)絡(luò) + SCTP�。� 參考：《東北大學(xué)》2014年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)和相關(guān)技術(shù)的飛速發(fā)展,網(wǎng)絡(luò)的應(yīng)用日益廣泛,網(wǎng)絡(luò)業(yè)務(wù)量也隨之激增。在這樣的情況下TCP的固有缺陷表現(xiàn)的愈發(fā)明顯,SCTP具有下一代互連網(wǎng)多宿多流等相關(guān)特性,因此SCTP替代TCP成為下一代互聯(lián)網(wǎng)的傳輸協(xié)議已被業(yè)界達(dá)成共識(shí)。但是SCTP原本是用于有線網(wǎng)絡(luò)的傳輸,使之應(yīng)用于無(wú)線與有線的混合網(wǎng)絡(luò)環(huán)境則會(huì)產(chǎn)生許多問(wèn)題,比如無(wú)線移動(dòng)環(huán)境下BER(誤碼率)明顯加大,延遲尖峰出現(xiàn)得更加頻繁,出現(xiàn)突發(fā)的設(shè)備噪聲,并且無(wú)線信道質(zhì)量不穩(wěn)定,因此無(wú)線網(wǎng)絡(luò)要比有線網(wǎng)絡(luò)的傳輸環(huán)境更惡劣。這些特點(diǎn)將導(dǎo)致頻繁產(chǎn)生丟包。在有線網(wǎng)絡(luò)中,SCTP把所有的丟包簡(jiǎn)單歸結(jié)為網(wǎng)絡(luò)擁塞,路徑上一旦出現(xiàn)丟包現(xiàn)象,則該路徑的擁塞窗口減半。但是,在無(wú)線網(wǎng)絡(luò)中,丟包現(xiàn)象的發(fā)生并不完全是由于網(wǎng)絡(luò)擁塞所引起的,一旦出現(xiàn)丟包現(xiàn)象就減少擁塞窗口則是不明智的,并且此行為會(huì)極大地降低SCTP在無(wú)線網(wǎng)絡(luò)中的性能。為了提高有線和無(wú)線網(wǎng)絡(luò)環(huán)境下的利用率,開(kāi)展下一代丟包區(qū)分機(jī)制的研究就具有重要的理論意義和應(yīng)用價(jià)值。到目前為止,已經(jīng)有很多研究人員針對(duì)有線和無(wú)線網(wǎng)絡(luò)環(huán)境下SCTP的丟包區(qū)分機(jī)制進(jìn)行研究,但這些現(xiàn)有的機(jī)制或多或少都有一些不甚完善的地方,它們的主要缺陷有：(1)大部分機(jī)制都是靠單一參數(shù)及其變化趨勢(shì)進(jìn)行丟包區(qū)分。如基于帶寬估計(jì)技術(shù)的WISE協(xié)議只是利用網(wǎng)絡(luò)的剩余帶寬來(lái)區(qū)分丟包的原因,這相對(duì)就比較片面,在不斷變化的網(wǎng)絡(luò)環(huán)境下難以取得令人滿意的效果。(2)當(dāng)前網(wǎng)絡(luò)參數(shù)統(tǒng)計(jì)、評(píng)判的方法是通過(guò)仿真獲取某一網(wǎng)絡(luò)模型下的評(píng)判標(biāo)準(zhǔn),這些評(píng)判標(biāo)準(zhǔn)大都是確定一定的閾值或區(qū)間,從而以當(dāng)前測(cè)量或估算的參數(shù)值與此閾值或區(qū)間的關(guān)系判斷丟包原因。這種對(duì)模糊問(wèn)題的簡(jiǎn)單二值邏輯特性,顯然不適合融合網(wǎng)絡(luò)環(huán)境下綜合多種概率因素的評(píng)判過(guò)程。針對(duì)上述問(wèn)題,本文建立了基于模糊綜合評(píng)判模型(Fuzzy Comprehensive Evaluation Model)的丟包區(qū)分機(jī)制。模糊綜合評(píng)判模型是一種十分有效的多因素決策模型,正是針對(duì)難以直接用準(zhǔn)確的數(shù)字進(jìn)行量化的評(píng)價(jià)問(wèn)題提出來(lái)的一種很有價(jià)值的方法。該方法對(duì)原本僅具有模糊和非定量化特征的因素,經(jīng)過(guò)數(shù)學(xué)處理,使其具有量化的表達(dá)形式,從而為決策提供可以進(jìn)行比較和判別的依據(jù),提高決策的科學(xué)性和正確性。其可以客觀的評(píng)價(jià)多個(gè)影響因素與決策目標(biāo)之間的關(guān)系,在處理多因素與評(píng)判結(jié)果之間的不確定性問(wèn)題上具有一定的優(yōu)越性。因此在本文的研究中,我們引入模糊綜合評(píng)判模型來(lái)描述網(wǎng)絡(luò)分組丟失的評(píng)判過(guò)程,利用模糊邏輯的智能處理能力,在發(fā)送端通過(guò)綜合評(píng)判模型來(lái)分析處理分組丟失的原因,從而提高擁塞判斷的準(zhǔn)確性,避免SCTP誤啟動(dòng)擁塞控制算法。最后通過(guò)仿真實(shí)驗(yàn)驗(yàn)證了所設(shè)計(jì)模型的準(zhǔn)確性和合理性。論文最后對(duì)課題進(jìn)行了總結(jié)和展望,提出了下一步的研究方向。
[Abstract]:With the rapid development of Internet and related technologies, the application of network is becoming more and more extensive and the volume of network services is increasing. In this case, the inherent defects of TCP are becoming more and more obvious, and SCTP has the related characteristics of the next generation of interconnected multi lodging and multi flow, so the transfer protocol of SCTP instead of TCP to the next generation of Internet has been reached by the industry However, SCTP is originally used for the transmission of wired networks, and the application of it to the wireless and wired hybrid network environment will produce many problems, such as the increase of BER (bit error rate) in wireless mobile environment, the emergence of the delay peak more frequently, the sudden device noise, and the wireless channel quality unstable, so the wireless network is used. It is worse than the transmission environment of the wired network. These features will result in frequent packet loss. In the wired network, SCTP reduces all packets simply as network congestion. Once the packet loss occurs on the path, the congestion window of the path is halved. In the wireless network, the occurrence of the packet loss is not entirely due to the network support. It is unwise to reduce the congestion window once the packet loss occurs, and this behavior will greatly reduce the performance of SCTP in the wireless network. In order to improve the utilization rate in the wired and wireless network environment, the research on the next generation packet loss differentiation mechanism has important theoretical significance and application value. So far, many researchers have studied the packet loss differentiation mechanism of SCTP in wired and wireless network environment, but these existing mechanisms are more or less imperfect. The main defects are as follows: (1) most of the mechanisms are divided by single parameters and their changing trends. For example, based on bandwidth estimation. The WISE protocol of the technology only uses the residual bandwidth of the network to distinguish the cause of the packet loss. This is relatively one-sided, and it is difficult to achieve satisfactory results in the changing network environment. (2) the current network parameter statistics, the evaluation method is through the simulation to obtain the evaluation criteria under a network model, most of these criteria for evaluation. It is to determine a certain threshold or interval, so as to judge the cause of the packet loss by the relation between the values of the measured or estimated parameters and the threshold or the interval. This simple two value logic characteristic of the fuzzy problem is obviously not suitable for the evaluation process of integrating a variety of probability factors under the network environment. The fuzzy comprehensive evaluation model is a very effective multi factor decision model. It is a very valuable method for the evaluation problem which is difficult to quantify directly with accurate numbers. This method is only fuzzy and non quantitative to the original Fuzzy Comprehensive Evaluation Model. The factor of chemical characteristics, through mathematical treatment, makes it have a quantitative expression form, thus providing a basis for comparison and discrimination for decision making, and improving the scientificity and correctness of decision making. It can objectively evaluate the relationship between multiple factors and decision goals, and deal with the uncertainty between the multiple factors and the evaluation results. In this paper, we introduce the fuzzy comprehensive evaluation model to describe the evaluation process of network packet loss, and use the intelligent processing capability of fuzzy logic to analyze the original cause of packet loss through the comprehensive evaluation model at the sending end, so as to improve the accuracy of congestion judgment and avoid SCTP In the end, the accuracy and rationality of the designed model are verified by the simulation experiment. Finally, the thesis is summarized and prospected, and the next research direction is put forward.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.04

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本文編號(hào)：1965150