本文關鍵詞： 車輛自組織網(wǎng)絡 海量數(shù)據(jù) 網(wǎng)絡連通性 連通圖 廣告分發(fā)　出處：《西安電子科技大學》2015年碩士論文　論文類型：學位論文

【摘要】：作為智能交通系統(tǒng)(Intelligent Transportation System,ITS)的重要組成部分,車輛自組織網(wǎng)絡(Vehicular Ad Hoc Networks,VANET)是移動自組織網(wǎng)絡(Mobile Ad Hoc Network,MANET)的重要分支,是專門為車輛間通信而設計的自組織網(wǎng)絡,迅速獲得了學術界和產業(yè)界的廣泛重視和深入研究,已成為無線網(wǎng)絡和智能交通等領域的研究熱點。車輛自組織網(wǎng)絡技術為駕駛員和乘客提供廣泛的安全類和娛樂類應用,在社會生活中具有實質性的應用需求,被認為是現(xiàn)代無線網(wǎng)絡技術中最有前途的商業(yè)應用,因此對于車輛自組織網(wǎng)絡的研究具有重要意義。本文的研究工作主要包括兩部分,具體研究內容如下:首先,針對快速路場景下車輛自組織網(wǎng)絡連通性進行研究。VANET中的安全應用和娛樂應用的實現(xiàn)極度依賴于成功的分組交換,而成功的分組交換是基于可靠的鏈路質量或者網(wǎng)絡中的節(jié)點是連通的,因此對于VANET網(wǎng)絡連通性的研究是VANET領域中的關鍵問題。現(xiàn)實世界的交通數(shù)據(jù)被廣泛用來研究VANET中與網(wǎng)絡連通性有關的各種指標,例如,無線鏈路的壽命、節(jié)點度和簇的大小等。盡管對于VANET網(wǎng)絡連通性的研究越來越多,但是對于大規(guī)模城市的網(wǎng)絡連通性仍然缺乏清晰的認識。本文提出一種計算快速路固定區(qū)域網(wǎng)絡連通概率的系統(tǒng)模型,根據(jù)該系統(tǒng)模型和臺北市車輛檢測器收集到的海量數(shù)據(jù)繪制了多張時變的連通圖,并根據(jù)連通圖宏觀上對臺北市的網(wǎng)絡連通性進行了分析并且分析了影響VANET網(wǎng)絡連通性的各個參數(shù)。分析結果有利于VANET協(xié)議的設計和VANET設施的部署。此外,針對車輛自組織網(wǎng)絡場景中移動廣告分發(fā)的種子車輛選擇問題進行了研究。由于車輛自組織網(wǎng)絡中節(jié)點處于高速運動狀態(tài),網(wǎng)絡拓撲結構高動態(tài)變化,應用于傳統(tǒng)的拓撲結構穩(wěn)定的靜態(tài)社交網(wǎng)絡上的候選節(jié)點選擇算法已經(jīng)不再適用于車輛自組織網(wǎng)絡場景。本文基于臺灣海量環(huán)島公交車數(shù)據(jù)提出一種在公交車中選擇種子車輛作為傳播移動廣告的初始車輛的系統(tǒng)模型,該模型基于地理位置信息數(shù)據(jù)將車輛劃分社團,并每隔一定時間繪制一張連通圖。根據(jù)連通圖分析圖中每輛車的中心性變化,通過中心性指標選擇種子車輛作為廣告分發(fā)的初始車輛。
[Abstract]:As the intelligent transportation system (Intelligent Transportation System, ITS) is an important part of vehicle self-organizing network (Vehicular Ad Hoc Networks, VANET) is a mobile ad hoc network (Mobile Ad Hoc Network, MANET) is an important branch, is designed for inter vehicle communication and self-organizing network design, quickly gained widespread attention and further research in academia and industry, has become a hot research topic in wireless network and intelligent transportation and other fields. The vehicle self-organizing network technology to provide security and entertainment applications for drivers and passengers, with applications in terms of social life, is considered to be the most promising application of modern commercial radio the network technology, so it has important significance for the study of vehicular ad hoc networks. The main research work of this paper includes two parts, the specific contents are as follows: firstly, aiming at the expressway The scene of vehicular ad hoc network connectivity of.VANET security application and entertainment is extremely dependent on the success of packet switching and packet switching node is successful and reliable in the network based on link quality or is connected, so the research of VANET network connectivity is a key problem in the field of VANET. The traffic data of the real world is widely used in a variety of indicators related with network connectivity in VANET for example, wireless link lifetime, node degree and cluster size. Although the research of VANET network connectivity is more and more, but for the large scale city network connectivity is still a lack of clear understanding of this. For computing the probability of connectivity of fixed area network expressway system model, according to the data model and the system of Taipei city vehicle detector to collect more than a draw When the connected graph, and according to the graph on a macro Taipei city network connectivity has been analyzed and analyzed the influence of various parameters of the VANET network deployment. The analysis results can help the design of VANET protocol and VANET facilities. In addition, the vehicle ad hoc network scene in mobile advertising vehicle seed distribution selection problem is studied. Because the vehicle from the high-speed motion state in network nodes, high dynamic changes of network topology, the candidate node static social network topology is applied to the traditional stable on the choice of algorithm is no longer applicable to vehicle ad hoc network. In this paper, a scene on the bus in the vehicle system model as seed selection the initial vehicle borne mobile advertising of Taiwan Island bus data based on the massive information data model, based on geographic location of the vehicle division The community and draw a connected graph at regular intervals. According to the connected graph, we analyze the centrality of every vehicle and select the seed vehicle as the initial vehicle for advertisement distribution through centrality index.

【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495

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本文編號：1550654