發(fā)布時(shí)間：2018-04-01 07:42

  本文選題：無標(biāo)度網(wǎng)絡(luò)　切入點(diǎn)：無線自組織網(wǎng)絡(luò)　出處：《合肥工業(yè)大學(xué)》2015年博士論文

【摘要】：復(fù)雜網(wǎng)絡(luò)是由錯(cuò)綜復(fù)雜關(guān)系的大量節(jié)點(diǎn)構(gòu)成的網(wǎng)絡(luò),具有足夠復(fù)雜的拓?fù)浣Y(jié)構(gòu)特征�，F(xiàn)實(shí)世界中有許多符合復(fù)雜網(wǎng)絡(luò)系統(tǒng)特征的網(wǎng)絡(luò)。本文基于復(fù)雜網(wǎng)絡(luò)和無標(biāo)度模型,對(duì)無線自組織網(wǎng)絡(luò)和交通運(yùn)輸網(wǎng)絡(luò)進(jìn)行拓?fù)淇刂蒲芯?主要研究成果如下：(1)基于無標(biāo)度網(wǎng)絡(luò)特征,發(fā)現(xiàn)無線自組織網(wǎng)絡(luò)自身的通信機(jī)制等具有復(fù)雜特性,但冪律特征不明顯。為構(gòu)造無標(biāo)度網(wǎng)絡(luò),引入并設(shè)計(jì)無線多射頻節(jié)點(diǎn),為網(wǎng)絡(luò)提供一個(gè)滿足無標(biāo)度特征的可能性。仿真實(shí)驗(yàn)表明部分多射頻節(jié)點(diǎn)可以有效建立長程連接,從而使無線自組織網(wǎng)絡(luò)提高吞吐量、增加連通性等。(2)復(fù)雜網(wǎng)絡(luò)比一般網(wǎng)絡(luò)具有更強(qiáng)的容錯(cuò)性。對(duì)于(1)中構(gòu)建的無標(biāo)度網(wǎng)絡(luò),多射頻節(jié)點(diǎn)具備無標(biāo)度網(wǎng)絡(luò)中“重要節(jié)點(diǎn)”的特征。以網(wǎng)絡(luò)異質(zhì)性為切入點(diǎn),研究了無標(biāo)度網(wǎng)絡(luò)結(jié)構(gòu)熵與度分布指數(shù)以及之間的關(guān)系,進(jìn)而提出了流和加權(quán)網(wǎng)絡(luò)結(jié)構(gòu)熵等概念。同時(shí),對(duì)無標(biāo)度網(wǎng)絡(luò)的重要節(jié)點(diǎn)進(jìn)行量化與評(píng)估。(3)為通過實(shí)現(xiàn)全局的拓?fù)淇刂贫岣邿o線自組織網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)的魯棒性,綜合主動(dòng)與被動(dòng)的拓?fù)淇刂品椒�、微觀節(jié)點(diǎn)層面與宏觀系統(tǒng)層面,設(shè)計(jì)并提出基于多射頻無標(biāo)度網(wǎng)絡(luò)的拓?fù)淇刂撇呗�。該控制策略以網(wǎng)絡(luò)全局的連通等為性能指標(biāo),通過單個(gè)節(jié)點(diǎn)與網(wǎng)絡(luò)系統(tǒng)行為來優(yōu)化網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)。仿真實(shí)驗(yàn)表明,該控制策略提高了網(wǎng)絡(luò)連通性,降低了平均路由長度。(4)以對(duì)整個(gè)網(wǎng)絡(luò)系統(tǒng)的管理與控制需求為主線,考慮一個(gè)一般性的目標(biāo)區(qū)域覆蓋問題,將其歸結(jié)于一個(gè)多目標(biāo)非線性規(guī)劃模型。利用多射頻節(jié)點(diǎn)組建一個(gè)自組織無標(biāo)度網(wǎng)絡(luò),結(jié)合此網(wǎng)絡(luò)節(jié)點(diǎn)及網(wǎng)絡(luò)系統(tǒng)特性,提出虛擬力導(dǎo)向的小生境蟻群優(yōu)化算法。進(jìn)而從全局角度考慮一種控制策略,使虛擬力作用按既定的約束與小生境蟻群優(yōu)化算法實(shí)時(shí)更新,從而優(yōu)化控制鏈路,達(dá)到覆蓋控制的目的。(5)路網(wǎng)中的交通事件的演化是“局部之和大于整體”的典型表現(xiàn),是一種復(fù)雜系統(tǒng)的涌現(xiàn)過程。為闡明其機(jī)理,構(gòu)建了交通事件要素網(wǎng)絡(luò),提出了安全評(píng)估模型框架。在此框架下,結(jié)合(2)中關(guān)于網(wǎng)絡(luò)結(jié)構(gòu)熵的理論,定義了面向交通事件的安全評(píng)估網(wǎng)絡(luò)安全熵和網(wǎng)絡(luò)結(jié)構(gòu)熵,進(jìn)而提出了對(duì)于交通事件的評(píng)判與控制模型,為從宏觀上對(duì)交通事件的預(yù)測(cè)與控制提供了理論依據(jù)。(6)面向移動(dòng)互聯(lián)(車聯(lián)網(wǎng))、資源合理分配以及交通運(yùn)輸行業(yè)監(jiān)管與服務(wù)業(yè)務(wù)需求,提出了基于路網(wǎng)交通流的多射頻車聯(lián)網(wǎng)拓?fù)淇刂撇呗�。在車�?lián)網(wǎng)環(huán)境中應(yīng)用了多射頻節(jié)點(diǎn)設(shè)計(jì)與自組網(wǎng)拓?fù)淇刂埔约疤摂M力導(dǎo)向的小生境蟻群優(yōu)化算法,設(shè)計(jì)了路段組網(wǎng)與維護(hù)流程�；谠摿鞒�,構(gòu)建了面向復(fù)雜路網(wǎng)的車聯(lián)網(wǎng)拓?fù)浣Y(jié)構(gòu),提出了相應(yīng)的控制策略。通過仿真實(shí)驗(yàn)驗(yàn)證了該方法的可行性與有效性。
[Abstract]:Complex network is a network composed of a large number of nodes with complex relations, and it has sufficiently complex topological features.In the real world, there are many networks that fit the characteristics of complex network systems.Based on the complex network and scale-free model, the topology control of wireless ad hoc network and transportation network is studied in this paper. The main research results are as follows: 1) based on scale-free network features.It is found that the communication mechanism of wireless ad hoc networks has complex characteristics, but the power law features are not obvious.In order to construct scale-free network, wireless multi-radio frequency nodes are introduced and designed to provide a possibility for the network to satisfy the scale-free feature.The simulation results show that some multi-RF nodes can effectively establish long-distance connections, which makes the wireless ad hoc networks have better fault-tolerance than the general networks, such as improving throughput and increasing connectivity.For scale-free networks, multi-radio-frequency nodes have the characteristics of "important nodes" in scale-free networks.Based on network heterogeneity, the relationship between scale-free network entropy and degree distribution index is studied, and then the concepts of flow and weighted network structure entropy are proposed.At the same time, the important nodes of scale-free network are quantified and evaluated. In order to improve the robustness of wireless ad hoc network topology structure by realizing global topology control, the active and passive topology control methods are integrated.The topology control strategy based on multi-radio frequency scale-free network is designed and proposed at the micro node level and macro system level.The control strategy takes the global connectivity of the network as the performance index and optimizes the network topology by the behavior of a single node and the network system.Simulation results show that the proposed control strategy improves the network connectivity and reduces the average routing length. It takes the management and control requirements of the entire network system as the main line, and considers a general target area coverage problem.It is reduced to a multi-objective nonlinear programming model.A self-organizing scale-free network is constructed by using multi-radio frequency nodes. Combined with the characteristics of the network node and network system, a virtual force-oriented niche ant colony optimization algorithm is proposed.Then a control strategy is considered from the global point of view so that the virtual force can be updated in real time according to the established constraints and the niche ant colony optimization algorithm to optimize the control link.The evolution of traffic events in the road network is a typical representation of "the sum of the parts is greater than the whole", and it is a process of emergence of complex systems.In order to elucidate its mechanism, a network of traffic event elements is constructed and a safety assessment model framework is proposed.In this framework, combined with the theory of network structure entropy, the network security entropy and network structure entropy of traffic event oriented security evaluation are defined, and the evaluation and control model of traffic event is put forward.It provides a theoretical basis for macroscopic prediction and control of traffic events. It is oriented to mobile interconnection (vehicle interconnection, rational allocation of resources, and traffic industry supervision and service business requirements).A topology control strategy based on network traffic flow for multi-radio frequency vehicle network is proposed.The design of multi-radio frequency nodes and topology control of ad hoc networks and the virtual force-oriented niche ant colony optimization algorithm are applied in the vehicle networking environment.Based on this process, the vehicle network topology for complex road network is constructed, and the corresponding control strategy is put forward.The feasibility and effectiveness of the method are verified by simulation experiments.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：O157.5

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