本文選題：無(wú)線Mesh網(wǎng)絡(luò)　切入點(diǎn)：路由度量　出處：《東華大學(xué)》2016年碩士論文

【摘要】：近些年來,隨著無(wú)線移動(dòng)通信技術(shù)的高速發(fā)展,人們的生產(chǎn)和生活發(fā)生了翻天覆地的變化。無(wú)線Mesh網(wǎng)絡(luò)(Wireless Mesh Networks,WMN)作為一種寬帶無(wú)線網(wǎng)絡(luò)結(jié)構(gòu),因其自組織、自愈性、高速率、易組網(wǎng)和可靠性高等優(yōu)點(diǎn)得到了廣泛的應(yīng)用。無(wú)線Mesh網(wǎng)絡(luò)中,節(jié)點(diǎn)數(shù)目逐漸增多、網(wǎng)絡(luò)業(yè)務(wù)量不斷加大,網(wǎng)絡(luò)拓?fù)湟沧兊迷絹碓綇?fù)雜,網(wǎng)絡(luò)性能隨之下降。在這種情況下,負(fù)載均衡通過利用不同分組傳輸路徑和有足夠帶寬資源的節(jié)點(diǎn)轉(zhuǎn)發(fā)分組,減輕網(wǎng)絡(luò)擁塞,達(dá)到提高網(wǎng)絡(luò)吞吐量和保證網(wǎng)絡(luò)性能的目的。因此研究WMN負(fù)載均衡功能的路由度量,對(duì)提升網(wǎng)絡(luò)整體性能有十分重要的意義。首先,本文概述了無(wú)線Mesh網(wǎng)絡(luò)及其網(wǎng)絡(luò)架構(gòu),對(duì)WMN節(jié)點(diǎn)負(fù)載均衡和網(wǎng)關(guān)節(jié)點(diǎn)負(fù)載均衡進(jìn)行了深入的分析與研究,進(jìn)一步討論了負(fù)載均衡路由度量和AODV協(xié)議。其次,文章對(duì)干擾負(fù)載感知路由度量(Interference-Load Aware routing metric,ILA)展開分析,提出干擾感知的負(fù)載均衡路由度量(Interference-Aware Load Balancing routing metric,IALB)。在干擾鄰居節(jié)點(diǎn)的負(fù)載描述干擾強(qiáng)度的基礎(chǔ)上,進(jìn)一步分析節(jié)點(diǎn)負(fù)載的影響,將干擾鄰居節(jié)點(diǎn)的數(shù)量、負(fù)載和與被干擾節(jié)點(diǎn)的距離綜合作用因素作為流間干擾強(qiáng)度。使用節(jié)點(diǎn)處的平均隊(duì)列長(zhǎng)度捕捉節(jié)點(diǎn)負(fù)載,并改進(jìn)期望傳輸時(shí)間消除鏈路的不對(duì)稱性,避開重干擾區(qū)域,均衡網(wǎng)絡(luò)流量,避免發(fā)生擁塞,實(shí)現(xiàn)無(wú)線mesh網(wǎng)絡(luò)內(nèi)部節(jié)點(diǎn)的負(fù)載均衡。再次,本文在ialb基礎(chǔ)上進(jìn)行多網(wǎng)關(guān)拓展,根據(jù)多網(wǎng)關(guān)負(fù)載對(duì)網(wǎng)絡(luò)性能的影響,提出干擾感知的多網(wǎng)關(guān)負(fù)載均衡路由度量(interference-awareloadbalancemulti-gatewayroutingmetric,ilbmg)。通過節(jié)點(diǎn)分級(jí)、自回歸平滑機(jī)制計(jì)算網(wǎng)關(guān)負(fù)載,反映網(wǎng)關(guān)節(jié)點(diǎn)剩余能力,區(qū)分internet業(yè)務(wù)和客戶端業(yè)務(wù),描述通信鏈路干擾強(qiáng)度,均衡干擾環(huán)境下多網(wǎng)關(guān)無(wú)線mesh網(wǎng)絡(luò)中通信流量。最后,文章搭建ns2仿真平臺(tái),基于ramon模型設(shè)計(jì)了多接口多信道的ns2模塊�；诋悩�(gòu)無(wú)線mesh網(wǎng)絡(luò),完成了網(wǎng)關(guān)模塊的設(shè)計(jì),包括與internet和與wmn內(nèi)部節(jié)點(diǎn)互通兩部分內(nèi)容。在無(wú)線mesh網(wǎng)絡(luò)格形拓?fù)渲蟹謩e對(duì)ialb和ilbmg路由度量進(jìn)行固定數(shù)據(jù)流個(gè)數(shù)下發(fā)包速率對(duì)網(wǎng)絡(luò)性能影響的仿真實(shí)驗(yàn)。此外,在隨機(jī)拓?fù)渲蟹謩e對(duì)ialb和ilbmg路由度量進(jìn)行了數(shù)據(jù)流個(gè)數(shù)和發(fā)包速率多因素對(duì)網(wǎng)絡(luò)性能影響的仿真實(shí)驗(yàn)。ns2仿真結(jié)果表明ialb和ilbmg路由度量能夠顯著提高網(wǎng)絡(luò)整體吞吐量,避開重干擾區(qū)域,降低平均端到端時(shí)延和丟包率,提升網(wǎng)絡(luò)整體性能,達(dá)到負(fù)載均衡的目的。ILBMG路由度量還能夠在多網(wǎng)關(guān)環(huán)境下顯著提高網(wǎng)絡(luò)容量,均衡網(wǎng)關(guān)節(jié)點(diǎn)負(fù)載,提高網(wǎng)絡(luò)資源利用率。
[Abstract]:In recent years, with the rapid development of wireless mobile communication technology, people's production and life have undergone earth-shaking changes. Wireless Mesh Network Wireless Mesh Networks WMNs as a broadband wireless network structure, because of its self-organization, self-healing, high speed. The advantages of easy networking and high reliability have been widely used. In wireless Mesh networks, the number of nodes increases gradually, the network traffic increases, the network topology becomes more and more complex, and the network performance drops. Load balancing can reduce network congestion by making use of different packet transmission paths and nodes with sufficient bandwidth resources to improve network throughput and ensure network performance. Therefore, the routing metric of WMN load balancing function is studied. It is of great significance to improve the overall performance of the network. Firstly, this paper summarizes the wireless Mesh network and its network architecture, and deeply analyzes and studies the load balancing of WMN node and gateway node. Furthermore, the load balancing routing metric and AODV protocol are discussed. Secondly, the interference load Aware routing metric ILA is analyzed. An interference aware load balancing routing metric, Interference-Aware Load Balancing routing metric, is proposed. Based on the interference intensity described by the load of the interference neighbor node, the influence of the node load is further analyzed, and the number of neighbor nodes will be disturbed. The load and the distance between the disturbed node and the load are taken as the strength of the interflow interference. The average queue length at the node is used to capture the load of the node, and the expected transmission time is improved to eliminate the asymmetry of the link and avoid the area of heavy interference. Balancing network traffic, avoiding congestion, realizing load balancing of internal nodes in wireless mesh network. Thirdly, this paper extends multi-gateway on the basis of ialb, according to the influence of multi-gateway load on network performance. A multi-gateway load balancing routing measure based on interference awareness is proposed. The interference-awareloadbalancti-emulative routing metric is used to calculate the gateway load through node classification and autoregressive smoothing mechanism, which reflects the residual capability of gateway nodes, distinguishes between internet services and client services, and describes the intensity of interference in communication links. Finally, the ns2 simulation platform is built, and the multi-interface and multi-channel ns2 module is designed based on the ramon model. Based on heterogeneous wireless mesh network, the gateway module is designed. It includes two parts: interworking with internet and internal nodes with wmn. In the lattice topology of wireless mesh network, the simulation experiments on the effect of packet rate on network performance under fixed number of data streams are carried out for ialb and ilbmg routing metrics, respectively. Ialb and ilbmg routing metrics are simulated in random topology. Simulation results show that ialb and ilbmg routing metrics can significantly improve the overall throughput of the network. The simulation results show that ialb and ilbmg routing metrics can significantly improve the overall throughput of the network. Avoiding the heavy interference region, reducing the average end-to-end delay and packet loss rate, improving the overall performance of the network, achieving load balance. ILBMG routing metric can also significantly increase network capacity in multi-gateway environment, balance the load of gateway node. Improve the utilization of network resources.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN929.5

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