本文選題：無線網(wǎng)狀網(wǎng)網(wǎng) + 網(wǎng)絡(luò)虛擬化��； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：無線網(wǎng)狀網(wǎng)技術(shù)(wireless mesh network,WMN)是一種與傳統(tǒng)無線網(wǎng)絡(luò)完全不同的新型無線網(wǎng)絡(luò)技術(shù)。它具有快速部署、易于安裝、成本低廉、覆蓋范圍廣和高網(wǎng)絡(luò)帶寬等優(yōu)點(diǎn),有極為廣闊的應(yīng)用前景。但無線網(wǎng)狀網(wǎng)網(wǎng)絡(luò)在實(shí)際部署中也面臨著很多挑戰(zhàn)性的問題,如難以保證用戶的接入帶寬、丟包率較高、移動(dòng)用戶通信中斷等問題。對于這些問題,可以采用無線網(wǎng)狀網(wǎng)網(wǎng)絡(luò)虛擬化的方案來解決。本文主要研究的是無線網(wǎng)狀網(wǎng)網(wǎng)絡(luò)虛擬化。文中首先介紹無線網(wǎng)狀網(wǎng)及網(wǎng)絡(luò)虛擬化的相關(guān)研究,還介紹了無線網(wǎng)狀網(wǎng)網(wǎng)絡(luò)虛擬化的必要性和應(yīng)用。其次是對無線mesh網(wǎng)中的資源調(diào)度算法進(jìn)行分類總結(jié),本文中無線網(wǎng)狀網(wǎng)調(diào)度的對象不再是用戶或鏈路,而是虛擬子網(wǎng),并對現(xiàn)有的虛擬網(wǎng)絡(luò)映射算法進(jìn)行總結(jié)。最后,采用Hopfield神經(jīng)網(wǎng)絡(luò)算法求解資源分配和虛擬網(wǎng)絡(luò)映射(virtual network embedding,VNE)。網(wǎng)絡(luò)虛擬化中涉及到的一個(gè)最大挑戰(zhàn)就是VNE問題。本文主要研究的就是VNE問題。對于無線網(wǎng)狀網(wǎng)網(wǎng)絡(luò)虛擬化環(huán)境中的VNE包括底層物理網(wǎng)絡(luò)的資源調(diào)度、虛擬節(jié)點(diǎn)映射和虛擬鏈路映射,是一個(gè)聯(lián)合優(yōu)化問題。文中對這個(gè)非常復(fù)雜的NP難問題,進(jìn)行拆分,分解為資源調(diào)度和虛擬子網(wǎng)映射兩個(gè)優(yōu)化問題。本文采用的是OFDMA mesh系統(tǒng),調(diào)度的資源是子信道。對于虛擬子網(wǎng)映射中的節(jié)點(diǎn)映射,與有線網(wǎng)絡(luò)不同,無線環(huán)境中可以采用位置確定,我們要優(yōu)化的就是虛擬鏈路映射了。信道資源調(diào)度和虛擬鏈路映射兩個(gè)優(yōu)化問題都是組合優(yōu)化問題,我們采用現(xiàn)代優(yōu)化算法中的神經(jīng)網(wǎng)絡(luò)算法求解,利用Hopfield神經(jīng)網(wǎng)絡(luò)并行計(jì)算、快速收斂的特性求解這兩個(gè)優(yōu)化問題。仿真結(jié)果表明利用神經(jīng)網(wǎng)絡(luò)算法能有效的求解出信道資源的分配和虛擬鏈路的映射路徑。還有文中對虛擬鏈路的映射采用多徑映射,仿真結(jié)果表明多徑映射能明顯提高虛擬子網(wǎng)的成功接入率和物理網(wǎng)絡(luò)的資源利用率。最后對于同時(shí)到達(dá)的虛擬子網(wǎng)的映射,采用優(yōu)先級(jí)的方式進(jìn)行映射并給出了仿真結(jié)果。
[Abstract]:Wireless mesh network (WMN) is a new wireless network technology which is completely different from the traditional wireless network. It has the advantages of rapid deployment, easy installation, low cost, wide coverage and high network bandwidth, and has a very broad application prospect. However, the wireless mesh network is also faced with the actual deployment of the network. Many challenging problems, such as the difficulty of guaranteeing the user's access bandwidth, the high packet loss rate and the communication interruption of the mobile users. For these problems, the wireless mesh network virtualization scheme can be used to solve these problems. The main research is the wireless mesh network virtualization. First, the wireless mesh network and the network virtualization are introduced. It also introduces the necessity and application of wireless mesh network virtualization. Secondly, it classifies the resource scheduling algorithms in wireless mesh network. In this paper, the object of the wireless mesh network scheduling is no longer the user or link, but a virtual subnet, and summarizes the existing virtual network mapping algorithm. Finally, Hopfie is used. The LD neural network algorithm solves the resource allocation and the virtual network mapping (virtual network embedding, VNE). One of the biggest challenges involved in the network virtualization is the VNE problem. This paper mainly focuses on the VNE problem. For the wireless mesh network virtual environment, the VNE includes the resource scheduling of the underlying physical network and the virtual node projection. Mapping and virtual link mapping is a joint optimization problem. In this paper, this very complex NP difficult problem is divided into two optimization problems: resource scheduling and virtual subnet mapping. The OFDMA mesh system is used in this paper. The resource of the scheduling is subchannel. The mapping of nodes in virtual subnet mapping is different from that of wired network. Location determination can be adopted in wireless environment. We want to optimize the virtual link mapping. The two optimization problems of channel resource scheduling and virtual link mapping are combinatorial optimization problems. We use the neural network algorithm in the modern optimization algorithm to solve this problem, and use the Hopfield neural network to compute parallel computing and fast convergence characteristics to solve this problem. Two optimization problems. The simulation results show that the allocation of channel resources and the mapping path of virtual links can be effectively solved by using neural network algorithm. Multipath mapping is used in the mapping of virtual links in the text. The simulation results show that the multipath mapping can obviously improve the power access rate of virtual subnet and the resource utilization of the physical network. Finally, the mapping of the virtual subnet arriving at the same time is carried out by the priority method and the simulation results are given.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

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