本文選題：無線Mesh網絡　切入點：路由度量　出處：《東華大學》2016年碩士論文

【摘要】：近些年來,隨著無線移動通信技術的高速發(fā)展,人們的生產和生活發(fā)生了翻天覆地的變化。無線Mesh網絡(Wireless Mesh Networks,WMN)作為一種寬帶無線網絡結構,因其自組織、自愈性、高速率、易組網和可靠性高等優(yōu)點得到了廣泛的應用。無線Mesh網絡中,節(jié)點數(shù)目逐漸增多、網絡業(yè)務量不斷加大,網絡拓撲也變得越來越復雜,網絡性能隨之下降。在這種情況下,負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)點轉發(fā)分組,減輕網絡擁塞,達到提高網絡吞吐量和保證網絡性能的目的。因此研究WMN負載均衡功能的路由度量,對提升網絡整體性能有十分重要的意義。首先,本文概述了無線Mesh網絡及其網絡架構,對WMN節(jié)點負載均衡和網關節(jié)點負載均衡進行了深入的分析與研究,進一步討論了負載均衡路由度量和AODV協(xié)議。其次,文章對干擾負載感知路由度量(Interference-Load Aware routing metric,ILA)展開分析,提出干擾感知的負載均衡路由度量(Interference-Aware Load Balancing routing metric,IALB)。在干擾鄰居節(jié)點的負載描述干擾強度的基礎上,進一步分析節(jié)點負載的影響,將干擾鄰居節(jié)點的數(shù)量、負載和與被干擾節(jié)點的距離綜合作用因素作為流間干擾強度。使用節(jié)點處的平均隊列長度捕捉節(jié)點負載,并改進期望傳輸時間消除鏈路的不對稱性,避開重干擾區(qū)域,均衡網絡流量,避免發(fā)生擁塞,實現(xiàn)無線mesh網絡內部節(jié)點的負載均衡。再次,本文在ialb基礎上進行多網關拓展,根據多網關負載對網絡性能的影響,提出干擾感知的多網關負載均衡路由度量(interference-awareloadbalancemulti-gatewayroutingmetric,ilbmg)。通過節(jié)點分級、自回歸平滑機制計算網關負載,反映網關節(jié)點剩余能力,區(qū)分internet業(yè)務和客戶端業(yè)務,描述通信鏈路干擾強度,均衡干擾環(huán)境下多網關無線mesh網絡中通信流量。最后,文章搭建ns2仿真平臺,基于ramon模型設計了多接口多信道的ns2模塊。基于異構無線mesh網絡,完成了網關模塊的設計,包括與internet和與wmn內部節(jié)點互通兩部分內容。在無線mesh網絡格形拓撲中分別對ialb和ilbmg路由度量進行固定數(shù)據流個數(shù)下發(fā)包速率對網絡性能影響的仿真實驗。此外,在隨機拓撲中分別對ialb和ilbmg路由度量進行了數(shù)據流個數(shù)和發(fā)包速率多因素對網絡性能影響的仿真實驗。ns2仿真結果表明ialb和ilbmg路由度量能夠顯著提高網絡整體吞吐量,避開重干擾區(qū)域,降低平均端到端時延和丟包率,提升網絡整體性能,達到負載均衡的目的。ILBMG路由度量還能夠在多網關環(huán)境下顯著提高網絡容量,均衡網關節(jié)點負載,提高網絡資源利用率。
[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.
【學位授予單位】：東華大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN929.5

【參考文獻】

相關期刊論文 前9條

1 王繼紅;石文孝;尚碩;許銀龍;李玉信;王春悅;;無線Mesh網絡負載與干擾感知傳輸時間路由度量[J];吉林大學學報(工學版);2015年01期

2 石文孝;許銀龍;王繼紅;尚碩;王春悅;;無線Mesh網絡干擾與區(qū)域負載感知路由度量[J];北京郵電大學學報;2014年05期

3 王繼紅;石文孝;李玉信;金鳳;王春悅;;無線Mesh網絡部分重疊信道分配綜述[J];通信學報;2014年05期

4 趙云飛;陳志剛;曾鋒;;WMN中基于網關饑餓度的部署算法優(yōu)化[J];中南大學學報(自然科學版);2013年11期

5 鄧曉衡;劉強;李旭;陳志剛;;鏈路質量與負載敏感的無線Mesh網絡路由協(xié)議[J];計算機學報;2013年10期

6 代紅;王鵬飛;;無線Mesh網絡可變路由度量的研究[J];計算機應用與軟件;2013年03期

7 吳文甲;楊明;羅軍舟;王維;;干擾約束和負載均衡的無線Mesh網絡網關部署策略[J];計算機學報;2012年05期

8 李陶深;韋燕霞;葛志輝;;跨層負載感知的無線Mesh網絡擁塞控制[J];北京郵電大學學報;2011年01期

9 劉志敏;楊毅;徐穎清;;無線網狀網組網技術及實驗研究[J];中興通訊技術;2008年02期

相關博士學位論文 前1條

1 王]Z琦;無線Mesh網絡路由協(xié)議關鍵技術的研究[D];國防科學技術大學;2009年

相關碩士學位論文 前6條

1 許銀龍;無線Mesh網絡負載均衡路由度量研究[D];吉林大學;2015年

2 毛譽熹;無線Mesh網絡干擾感知路由技術研究[D];中國科學技術大學;2014年

3 王政;多網關WMN負載均衡策略的研究[D];南京航空航天大學;2012年

4 彭琦;無線Mesh網絡負載均衡路由技術研究[D];北京郵電大學;2011年

5 郭曉雷;多網關無線Mesh網絡負載均衡策略研究[D];中國科學技術大學;2010年

6 李哠哠;基于NS2的多信道仿真模型的研究與實現(xiàn)[D];北京郵電大學;2009年

，

本文編號：1681537