本文選題：物聯(lián)網(wǎng) + M2M��； 參考：《西南交通大學(xué)》2014年碩士論文

【摘要】：網(wǎng)絡(luò)流量特性隨著網(wǎng)絡(luò)的發(fā)展而變化,從早期的短相關(guān)性、馬爾科夫性到現(xiàn)在的自相似性、長相關(guān)性等。隨著物聯(lián)網(wǎng)技術(shù)的發(fā)展,海量的物聯(lián)網(wǎng)終端將會加入到網(wǎng)絡(luò)中來,這會對網(wǎng)絡(luò)產(chǎn)生巨大的沖擊。下一代網(wǎng)絡(luò)將是以物與物通信為主要特征的物聯(lián)網(wǎng),與目前以人為主要用戶的互聯(lián)網(wǎng)具有完全不同的特點(diǎn),網(wǎng)絡(luò)流量發(fā)生了根本性變化,對網(wǎng)絡(luò)規(guī)劃設(shè)計(jì)、性能評價(jià)和服務(wù)質(zhì)量保障提出了新的挑戰(zhàn)。 本文首先對網(wǎng)絡(luò)流量特性分析的發(fā)展、物聯(lián)網(wǎng)的體系結(jié)構(gòu)進(jìn)行了分析。明確了需要重點(diǎn)研究的網(wǎng)絡(luò)特性即自相似特性,以及研究方法。然后以典型的物聯(lián)網(wǎng)業(yè)務(wù)為例,通過對業(yè)務(wù)特性的分析,得到不同業(yè)務(wù)的流量生成模型。在此基礎(chǔ)上通過MATLAB仿真產(chǎn)生不同終端規(guī)模的業(yè)務(wù)流,對產(chǎn)生的業(yè)務(wù)流進(jìn)行自相似特性分析。研究結(jié)果表明：不同業(yè)務(wù)的流量自相似性不同,有的具有自相似性,有的不具有,有的自相似特性很強(qiáng),有的偏弱；同時不同業(yè)務(wù)隨著終端規(guī)模的增加,自相似特性也呈現(xiàn)出不同的變化規(guī)律,有的增強(qiáng)有的很穩(wěn)定,而也有的卻會減弱。進(jìn)一步,進(jìn)行不同M2M (Machine to Machine)業(yè)務(wù)之間以及M2M與實(shí)際采集的互聯(lián)網(wǎng)流量的聚合,分析聚合流量的特性,發(fā)現(xiàn)聚合流的流量特性因不同的M2M業(yè)務(wù)源而表現(xiàn)出不同的變化規(guī)律,同時分析、印證了流量源方差對聚合流的流量特性具有重大的影響。最后通過對實(shí)際采集的傳感器網(wǎng)絡(luò)流量特性分析,進(jìn)一步印證了上面的分析結(jié)論。 本文通過對M2M業(yè)務(wù)流以及聚合流量特性的分析研究,發(fā)現(xiàn)聚合流量會因M2M業(yè)務(wù)的不同而展現(xiàn)出不同的自相似特性,由此可以看出下一代網(wǎng)絡(luò)流量的自相似特性將具有很大不確定性。
[Abstract]:Network traffic characteristics change with the development of the network, from the early short correlation, Markov to the present self-similarity, long-term correlation and so on. With the development of Internet of things (IoT) technology, a large number of Internet of things terminals will join the network, which will have a huge impact on the network. The next generation network (NGN) will be the Internet of things (IOT), which is characterized by material and material communication, which is completely different from the current Internet, which is mainly used by people. The network traffic has changed radically, and the network planning and design has taken place. Performance evaluation and quality of service assurance pose new challenges. Firstly, the development of network traffic characteristic analysis and the architecture of Internet of things are analyzed. The characteristics of the network that need to be studied, namely, self-similarity, and the research methods are defined. Then taking the typical Internet of things business as an example, the traffic generation model of different services is obtained by analyzing the service characteristics. On this basis, the traffic flow with different terminal size is generated by MATLAB simulation, and the self-similar characteristics of the generated traffic flow are analyzed. The results show that the traffic self-similarity of different services is different, some have self-similarity, some do not, some have strong self-similarity and others are weak. The self-similar characteristic also presents the different change law, some enhancement is very stable, and some will weaken. Furthermore, the aggregation between different M2m machine to machine services and between M2M and the actual collected Internet traffic is carried out, and the characteristics of aggregate traffic are analyzed. It is found that the traffic characteristics of aggregation flow show different changing laws because of different M2m service sources. At the same time, it is proved that the variance of flow source has great influence on the flow characteristics of aggregate flow. Finally, the above conclusions are confirmed by analyzing the traffic characteristics of sensor networks collected in practice. In this paper, the characteristics of M2m traffic and aggregate traffic are analyzed, and it is found that the aggregate traffic will exhibit different self-similar characteristics because of the different M2M traffic. It can be seen that the self-similar characteristics of next-generation network traffic will be very uncertain.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.06

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