本文選題：物聯(lián)網(wǎng) + 時延容忍��； 參考：《西南交通大學(xué)》2017年碩士論文

【摘要】：隨著現(xiàn)代通信技術(shù)及物聯(lián)網(wǎng)相關(guān)應(yīng)用業(yè)務(wù)的快速發(fā)展,在典型物聯(lián)網(wǎng)業(yè)務(wù)通信傳輸中,其業(yè)務(wù)終端數(shù)量的迅速增長以及瞬時突發(fā)等特征表現(xiàn)的越來越明顯,對承載網(wǎng)絡(luò)的要求也越來越高.早期的通信網(wǎng)絡(luò)業(yè)務(wù)模型假設(shè)系統(tǒng)到達(dá)過程為泊松分布,現(xiàn)在的互聯(lián)網(wǎng)流量模型到達(dá)過程是重尾分布.今天網(wǎng)絡(luò)發(fā)展已進(jìn)入物聯(lián)網(wǎng)時代,物聯(lián)網(wǎng)中“物與物”通信的比例遠(yuǎn)高于人與人的通信,原有模型已不能滿足這些物聯(lián)網(wǎng)特征的要求。本文致力于物聯(lián)網(wǎng)業(yè)務(wù)的建模和特性分析,基于理論分析與計算機(jī)模擬仿真相結(jié)合分析驗證了典型物聯(lián)網(wǎng)業(yè)務(wù)終端較多但每次傳輸數(shù)據(jù)量較小、網(wǎng)絡(luò)流量瞬時突發(fā)這些特征給承載網(wǎng)絡(luò)帶來的各種影響,把傳統(tǒng)的互聯(lián)網(wǎng)業(yè)務(wù)模型和分析方法應(yīng)用在物聯(lián)網(wǎng)入網(wǎng)控制中。首先,本文分析了典型物聯(lián)網(wǎng)業(yè)務(wù)的主要特征:終端數(shù)量不斷增大、允許一定時延以及瞬時突發(fā)入網(wǎng)等。其次,對IEEE802.11無線局域網(wǎng)系統(tǒng),分析了基于DCF協(xié)議的入網(wǎng)過程。對MAC層的服務(wù)時間進(jìn)行了推導(dǎo),研究了 MAC層服務(wù)模型以及IPP到達(dá)的業(yè)務(wù)模型,對系統(tǒng)服務(wù)質(zhì)量指標(biāo)如吞吐量、時延進(jìn)行了仿真分析。接著,本文針對典型物聯(lián)網(wǎng)業(yè)務(wù)特征,研究分析了 DCF馬爾科夫鏈分析方法中的退避時間,根據(jù)物聯(lián)網(wǎng)業(yè)務(wù)允許一定時延的特性,對原有算法的退避時間進(jìn)行了改進(jìn)。理論和仿真都證明了改進(jìn)算法有利于減少入網(wǎng)業(yè)務(wù)終端不斷增加時發(fā)生沖突的概率。然后,根據(jù)不同物聯(lián)網(wǎng)業(yè)務(wù)的不同到達(dá)時間間隔,證明了 Beta分布能更好的刻畫物聯(lián)網(wǎng)業(yè)務(wù)的瞬時突發(fā)達(dá)到過程�；诓煌闆r建立了 M/M/1單一互聯(lián)網(wǎng)業(yè)務(wù)模型、Beta/M/1單一物聯(lián)網(wǎng)業(yè)務(wù)模型和Mix//M/1混合業(yè)務(wù)模型,實現(xiàn)了不同業(yè)務(wù)的同時入網(wǎng)仿真分析。最后,本文針對混合業(yè)務(wù)入網(wǎng)時產(chǎn)生的擁塞和搶占等問題,研究了兩種有效的優(yōu)化接入控制方法:一種是基于互聯(lián)網(wǎng)業(yè)務(wù)優(yōu)先的接入控制,可以保證互聯(lián)網(wǎng)業(yè)務(wù)的實時性,而不會對典型物聯(lián)網(wǎng)業(yè)務(wù)的數(shù)據(jù)傳輸有太大影響;另一種是基于入網(wǎng)業(yè)務(wù)不同比例的控制接入,以期達(dá)到各種業(yè)務(wù)的較理想的通信情況。
[Abstract]:With the rapid development of modern communication technology and Internet of things related application services, in the typical Internet of things business communication transmission, the rapid growth of the number of service terminals and the characteristics of instantaneous burst are becoming more and more obvious. The requirement of carrying network is higher and higher. The early traffic model of communication network assumes that the arrival process of the system is Poisson distribution, and the arrival process of the current Internet traffic model is heavy-tailed distribution. Nowadays, the development of Internet of things has entered the age of Internet of things. The proportion of "things and things" communication in the Internet of things is much higher than that of people. The original model can not meet the requirements of these characteristics of the Internet of things. This paper is devoted to modeling and characteristic analysis of Internet of things service. Based on the combination of theoretical analysis and computer simulation, it is proved that the typical Internet of things service terminal is more than others, but the amount of data transmitted each time is small. The characteristics of instantaneous burst of network traffic bring various influences to the carrying network. The traditional Internet traffic model and analysis method are applied to the control of Internet of things access network. Firstly, this paper analyzes the main characteristics of typical Internet of things services: the number of terminals is increasing, allowing a certain delay and instantaneous burst into the network. Secondly, the network access process based on DCF protocol is analyzed for IEEE802.11 WLAN system. The service time of MAC layer is deduced, the service model of MAC layer and the service model of IPP arrival are studied, and the quality of service index such as throughput and delay are simulated and analyzed. Then, aiming at the characteristic of typical Internet of things services, the Backoff time of DCF Markov chain analysis method is studied and analyzed. According to the characteristic that the Internet of things service allows a certain delay, the Backoff time of the original algorithm is improved. Both theoretical and simulation results show that the improved algorithm is helpful to reduce the probability of collision when the number of incoming service terminals increases. Then, according to the different arrival time intervals of different Internet of things services, it is proved that the Beta distribution can better describe the instantaneous burst arrival process of the Internet of things services. The M/M/1 single Internet service model Beta / M / 1 single Internet of things service model and the Mix//M/1 hybrid service model are established based on the different conditions, and the simulation analysis of different services is realized at the same time. Finally, aiming at the problems of congestion and preemption when mixed services enter the network, this paper studies two effective optimal access control methods: one is based on Internet traffic priority access control, which can ensure the real-time performance of Internet services. It does not affect the data transmission of typical Internet of things services; the other is the control access based on different proportion of network access services, in order to achieve a better communication situation of various services.
【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】：2017
【分類號】：TN92;TP391.44

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