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基于網(wǎng)絡(luò)編碼的車聯(lián)網(wǎng)數(shù)據(jù)分發(fā)策略研究

發(fā)布時(shí)間:2018-03-13 17:16

  本文選題:車聯(lián)網(wǎng) 切入點(diǎn):數(shù)據(jù)傳輸 出處:《湖南理工學(xué)院》2017年碩士論文 論文類型:學(xué)位論文


【摘要】:智能交通系統(tǒng)是緩解交通問題的有效方法,車聯(lián)網(wǎng)作為智能交通系統(tǒng)的主要組成部分被廣泛關(guān)注。在傳統(tǒng)的移動通信協(xié)議中,中間節(jié)點(diǎn)僅僅對收到的數(shù)據(jù)信息進(jìn)行存儲轉(zhuǎn)發(fā),但數(shù)據(jù)量大時(shí)這種方式會使得中間節(jié)點(diǎn)成為瓶頸節(jié)點(diǎn),應(yīng)用網(wǎng)絡(luò)編碼技術(shù)可達(dá)到網(wǎng)絡(luò)傳輸?shù)淖畲笕萘。將網(wǎng)絡(luò)編碼運(yùn)用到車聯(lián)網(wǎng)中,對車聯(lián)網(wǎng)產(chǎn)生的大數(shù)據(jù)信息流進(jìn)行壓縮,可達(dá)到提升車聯(lián)網(wǎng)服務(wù)質(zhì)量的目的。本文主要研究基于網(wǎng)絡(luò)編碼的數(shù)據(jù)傳輸技術(shù),針對高密度交通環(huán)境車聯(lián)網(wǎng)吞吐量不高等問題,提出了適用于高密度交通環(huán)境的基于網(wǎng)絡(luò)編碼的車聯(lián)網(wǎng)數(shù)據(jù)分簇傳輸協(xié)議。該協(xié)議采用分塊有序隨機(jī)線性網(wǎng)絡(luò)編碼,根據(jù)通信鏈路質(zhì)量動態(tài)更新冗余編碼包個(gè)數(shù),并通過將編碼矩陣中特定元素置1的方式降低解碼復(fù)雜度。傳輸策略上采用基于分簇的車輛節(jié)點(diǎn)協(xié)同轉(zhuǎn)發(fā),采用ACK確認(rèn)的逐級確定性重傳。實(shí)驗(yàn)表明,該協(xié)議在數(shù)據(jù)傳輸效率、轉(zhuǎn)發(fā)延遲、吞吐量等方面均表現(xiàn)出較好的性能。針對稀疏交通環(huán)境車聯(lián)網(wǎng)數(shù)據(jù)傳輸時(shí)延較大等問題,提出了適用于稀疏交通環(huán)境的基于網(wǎng)絡(luò)編碼及交通軌跡的數(shù)據(jù)轉(zhuǎn)發(fā)協(xié)議。協(xié)議采用“攜帶+連通組件”思想,通過建立端對端傳輸延遲模型,提出在路口接入點(diǎn)協(xié)助下基于最小傳輸延遲期望的多徑轉(zhuǎn)發(fā)原則。理論分析及仿真實(shí)驗(yàn)結(jié)果表明,提出的協(xié)議在稀疏交通環(huán)境下表現(xiàn)出較好的數(shù)據(jù)傳輸延遲性能。
[Abstract]:Intelligent Transportation system (its) is an effective method to alleviate traffic problems. As the main component of its, vehicle networking is widely concerned. In traditional mobile communication protocols, the intermediate nodes only store and forward the received data. However, when the amount of data is large, this way will make the intermediate node become the bottleneck node, and the network coding technology can achieve the maximum capacity of network transmission. The network coding is applied to the vehicle network, and the big data information flow generated by the vehicle networking is compressed. This paper mainly studies the data transmission technology based on network coding, aiming at the problem of low throughput of vehicle network in high-density traffic environment. A networked data clustering protocol based on network coding is proposed for high density traffic environment. The protocol adopts block ordered random linear network coding and dynamically updates the number of redundant packets according to the quality of communication link. The decoding complexity is reduced by placing a specific element in the coding matrix. In the transmission strategy, the vehicle nodes based on clustering are co-forwarded, and the hierarchical deterministic retransmission confirmed by ACK is adopted. The experiment shows that the protocol is efficient in data transmission. Forwarding delay, throughput and other aspects have shown good performance. In view of the problem of long transmission delay in sparse traffic environment, A data forwarding protocol based on network coding and traffic path is proposed for sparse traffic environment. The protocol adopts the idea of "carrying connected components" and builds end-to-end transmission delay model. A multipath forwarding principle based on the expectation of minimum transmission delay is proposed with the help of access points at intersections. Theoretical analysis and simulation results show that the proposed protocol performs well in sparse traffic environment.
【學(xué)位授予單位】:湖南理工學(xué)院
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN929.5;U495

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