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基于復(fù)雜網(wǎng)絡(luò)理論的車(chē)載自組織網(wǎng)絡(luò)研究

發(fā)布時(shí)間:2018-09-10 12:22
【摘要】:隨著城市化進(jìn)程的加快,道路交通狀況越來(lái)越復(fù)雜,車(chē)載自組織網(wǎng)絡(luò)作為智能交通系統(tǒng)的基礎(chǔ)應(yīng)用將是緩解交通擁堵、快速處理交通事故、提高交通安全、優(yōu)化城市汽車(chē)流量及實(shí)現(xiàn)無(wú)人駕駛的重要方式。車(chē)載自組織網(wǎng)絡(luò)的通訊方式借助于比較成熟的通信網(wǎng)絡(luò),屬于多跳無(wú)線(xiàn)通信移動(dòng)自組織網(wǎng)絡(luò)范疇,網(wǎng)絡(luò)部署靈活,具有較好的發(fā)展前景。傳統(tǒng)研究專(zhuān)注于通信協(xié)議及其拓?fù)?未從宏觀(guān)角度揭示其網(wǎng)絡(luò)本質(zhì)。本文基于復(fù)雜網(wǎng)絡(luò)理論提出車(chē)載自組織網(wǎng)絡(luò)模型,以新視角研究車(chē)載自組織網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)、網(wǎng)絡(luò)本質(zhì)和控制方式,較好地克服了從單一角度進(jìn)行特性研究的不足。 本文首先介紹了車(chē)載自組織網(wǎng)絡(luò)體系架構(gòu)和模型算法,借用復(fù)雜網(wǎng)絡(luò)理論思想建立了V2V子網(wǎng)模型、V2I子網(wǎng)模型及整體車(chē)載自組織網(wǎng)絡(luò)模型,采用平均場(chǎng)理論進(jìn)行瞬時(shí)度分布和穩(wěn)態(tài)度分布分析;根據(jù)車(chē)載自組織網(wǎng)絡(luò)節(jié)點(diǎn)特性及假設(shè)條件,考慮到實(shí)際的車(chē)載自組織網(wǎng)絡(luò)并不是無(wú)限增長(zhǎng)的,研究了具有壽命周期的網(wǎng)絡(luò)模型和模塊模型構(gòu)造。其次討論了模型的特殊情況,判定度分布指數(shù)范圍,以度分布滿(mǎn)足冪律分布規(guī)律驗(yàn)證車(chē)載自組織網(wǎng)絡(luò)的無(wú)標(biāo)度特征,以基尼系數(shù)驗(yàn)證網(wǎng)絡(luò)的異質(zhì)性;從微觀(guān)角度研究了車(chē)載自組織網(wǎng)絡(luò)信息流量分布特性和考慮容量限制的信息流量分布特性。最后以網(wǎng)絡(luò)狀態(tài)方程為基礎(chǔ),從改善已有網(wǎng)絡(luò)性能和提高網(wǎng)絡(luò)效率、穩(wěn)定性的角度出發(fā),導(dǎo)出被牽制控制到平衡點(diǎn)的網(wǎng)絡(luò)狀態(tài)方程,計(jì)算矩陣最大特征值和網(wǎng)絡(luò)特征值,提出車(chē)載自組織網(wǎng)絡(luò)牽制控制策略,探討了網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)參數(shù)對(duì)網(wǎng)絡(luò)同步動(dòng)力學(xué)的影響。闡述了網(wǎng)絡(luò)能控性的基本概念,從度相關(guān)性角度對(duì)能控性的影響進(jìn)行了分析,通過(guò)數(shù)學(xué)實(shí)驗(yàn)和仿真實(shí)驗(yàn)分析了特定牽制控制、隨機(jī)牽制控制和混合牽制控制策略的能控性。 研究結(jié)果表明車(chē)載自組織網(wǎng)絡(luò)符合冪律分布規(guī)律,滿(mǎn)足無(wú)標(biāo)度網(wǎng)絡(luò)特征,度分布指數(shù)2γ≤3,度值大的節(jié)點(diǎn)對(duì)網(wǎng)絡(luò)影響較大,傳播信息更快,信息流量與度值之間滿(mǎn)足冪律分布規(guī)律;在考慮節(jié)點(diǎn)壽命周期的情況下,網(wǎng)絡(luò)度分布不符合冪律分布規(guī)律。度分布指數(shù)越小,同步越難實(shí)現(xiàn);擇優(yōu)連接網(wǎng)絡(luò)比重連網(wǎng)絡(luò)的同步更強(qiáng),動(dòng)態(tài)網(wǎng)絡(luò)對(duì)隨機(jī)攻擊表現(xiàn)出更強(qiáng)的魯棒性。對(duì)比不同的控制策略,特定牽制控制策略效率最高。在同配網(wǎng)絡(luò)中,特定牽制控制節(jié)點(diǎn)比例的增加對(duì)整個(gè)網(wǎng)絡(luò)的同步作用影響越來(lái)越;在車(chē)載自組織異配網(wǎng)絡(luò)中,特定牽制度值大的節(jié)點(diǎn)其控制效果易于傳播到整個(gè)網(wǎng)絡(luò),使得網(wǎng)絡(luò)易于控制。
[Abstract]:With the acceleration of urbanization, the road traffic situation is becoming more and more complex. As the basic application of Intelligent Transportation system (its), the vehicle-borne self-organizing network will alleviate traffic congestion, deal with traffic accidents quickly and improve traffic safety. Optimization of urban vehicle flow and realization of driverless important ways. With the help of more mature communication networks, vehicle-mounted ad hoc networks belong to the category of multi-hop wireless mobile ad hoc networks. The network deployment is flexible and has a good development prospect. Traditional research focuses on communication protocols and their topologies, and fails to reveal their network nature from a macro point of view. Based on the complex network theory, this paper presents a vehicle Ad Hoc network model, and studies the topology, nature and control mode of the vehicle ad hoc network from a new perspective, which overcomes the shortcomings of the research on the characteristics from a single point of view. In this paper, the architecture and algorithm of vehicle Ad Hoc network are introduced, and the V2V subnet model and the whole vehicle Ad hoc network model are established by using the complex network theory. The instantaneous degree distribution and steady attitude distribution are analyzed by using the mean field theory. According to the node characteristics and assumptions of the vehicle-mounted ad hoc network, considering that the actual vehicle-mounted ad hoc network is not infinitely growing, The construction of network model and module model with life cycle is studied. Secondly, the special case of the model is discussed, the exponential range of degree distribution is determined, the scale-free characteristic of the vehicle self-organized network is verified by the degree distribution satisfying the law of power-law distribution, and the heterogeneity of the network is verified by the Gini coefficient. In this paper, the characteristics of information traffic distribution in vehicle-mounted ad hoc networks and the information traffic distribution characteristics considering capacity constraints are studied from the microscopic point of view. Finally, based on the network state equation, from the point of view of improving the network performance, improving the network efficiency and stability, the network state equation which is controlled to the equilibrium point is derived, and the maximum eigenvalue and the network eigenvalue of the matrix are calculated. A containment control strategy for vehicle-borne ad hoc networks is proposed, and the influence of network topology parameters on network synchronization dynamics is discussed. This paper expounds the basic concept of network controllability, analyzes the influence of controllability from the angle of degree correlation, and analyzes the controllability of specific containment control, random control and hybrid control strategy through mathematical experiments and simulation experiments. The results show that the vehicle-mounted self-organizing network conforms to the law of power-law distribution and satisfies the characteristics of scale-free network. The nodes with large degree value and the index of degree distribution 2 緯 鈮,

本文編號(hào):2234431

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