当前位置:主页 > 科技论文 > 网络通信论文 >

基于CCN的路由优化策略研究

发布时间:2018-06-27 14:26

  本文选题:CCN + 域间访问 ; 参考:《北京交通大学》2014年硕士论文


【摘要】:随着互联网技术的快速发展,内容服务和信息共享已经成为互联网的重要组成部分。为了更好地为用户提供服务,内容为中心的网络(CCN)技术逐渐成为了研究热点。和传统网络中“面向主机”的设计理念不同,CCN采用一种“面向资源”的设计方案,通过采用新型7层协议栈和新型路由节点完成兴趣包和数据包的传输,在新型路由节点内部采用内容存储(CS)、未决表(PIT)以及转发表(FIB)实现包交换及转发过程。 本文在CCN网络原有路由策略的基础上,提出一种新型路由优化方案,实现CCN网络的域间通信以及CCN网络与IP网络的相互通信,同时通过对转发端口度量进行路径优化,提高网络传输效率。具体工作包括: 首先,简要介绍了内容中心网络的研究背景及国内外研究现状,并对现阶段CCN体系架构进行了说明,包括资源的命名方式、安全机制以及资源缓存方案等内容,着重分析了其路由策略中无法进行域间通信、无法与IP网络相互通信以及传输效率低等问题,引出本文的研究动机。 其次,针对上述问题提出了一种路由优化方案,并阐述了本方案的设计思想及实现方式,详细介绍了各模块中主要数据包(如Interest包、Data包等)的格式,同时对各类网络节点的信息交互过程进行了说明。本方案在保留原始CCN网络基于CS、PIT、FIB表设计的节点处理体系基础上,着重开展了三个方面的研究工作:1)引入中心节点作为CCN网络自治域的控制节点,记录本自治域及其他自治域的资源信息,通过查询计算为域内节点提供传输路径,实现CCN网络域间通信;2)引入边界节点作为CCN网络与IP网络的连接点,实现两种网络的相互通信;3)引入蚁群算法标记转发端口质量,优化传输路径,减少网络冗余流量。 第三,在NS-3仿真平台上对本方案进行功能验证。编写仿真模块进行本方案的功能实现,并搭建测试拓扑进行相关的功能及性能测试。通过运行修改后的代码,验证了本方案可以实现CCN网络的域间通信、CCN网络与IP网络间的通信,同时引入蚁群算法优化了传输策略,减少了网络冗余流量,降低了网络吞吐量,提高了网络传输效率。 最后,本文对所做工作进行了总结,并提出了下一步的研究方向。
[Abstract]:With the rapid development of Internet technology, content service and information sharing have become an important part of the Internet. In order to provide better service to users, CCN technology has gradually become a research hotspot. Different from the "host oriented" design concept in the traditional network, CCN adopts a "resource-oriented" design scheme, which uses a new seven-layer protocol stack and a new routing node to complete the transmission of interest packets and packets. Content storage (CS), pending table (bit) and forwarding table (FIB) are used to realize packet switching and forwarding in the new routing node. Based on the original routing strategy of CCN network, a new route optimization scheme is proposed in this paper, which realizes inter-domain communication of CCN network and the mutual communication between CCN network and IP network, and optimizes the path of forwarding port measurement. Improve the transmission efficiency of the network. The main works are as follows: firstly, the research background of content center network and the current research situation at home and abroad are briefly introduced, and the CCN architecture, including the naming method of resources, is explained. The security mechanism and the resource cache scheme are analyzed in detail. The problems of the routing strategy such as the inability to communicate between domains, the inability to communicate with IP networks and the low transmission efficiency are analyzed, which leads to the research motivation of this paper. Secondly, a route optimization scheme is proposed to solve the above problems, and the design idea and implementation method of this scheme are described. The format of main data packets (such as interest packet and data packet) in each module is introduced in detail. At the same time, the information exchange process of all kinds of network nodes is explained. On the basis of retaining the node processing system of the original CCN network based on CSPIT-FIB table, this scheme focuses on three aspects of research work: 1) introducing the central node as the control node in the autonomous domain of the CCN network. This paper records the resource information of the autonomous domain and other autonomous domains, provides the transmission path for the nodes in the domain through query calculation, realizes the communication between the CCN network domains and 2) introduces the boundary node as the connection point between the CCN network and the IP network. Ant colony algorithm is introduced to mark forwarding port quality, optimize transmission path and reduce network redundant traffic. Thirdly, the function of this scheme is verified on NS-3 simulation platform. The simulation module is written to realize the function of this scheme, and the test topology is built to test the function and performance. By running the modified code, it is verified that this scheme can realize the communication between CCN and IP networks. Ant colony algorithm is introduced to optimize the transmission strategy, reduce network redundant traffic and reduce network throughput. The network transmission efficiency is improved. Finally, this paper summarizes the work done, and puts forward the next research direction.
【学位授予单位】:北京交通大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN915.0

【共引文献】

相关期刊论文 前10条

1 王侠;程乃伟;;蚁群算法在动态疏散路径优化过程中的应用[J];安防科技;2009年10期

2 陈任;邓清勇;邝利丹;李凤姣;;基于Blackfin的锂电池管理系统[J];兵工自动化;2011年12期

3 方锡邦;王国庆;;基于Simulink模型的静态优化和动态优化[J];北京汽车;2010年05期

4 张玉洁;孟祥武;;利用蚁群算法求解电信客户初始信用评分问题[J];北京邮电大学学报;2010年01期

5 穆朋刚;赵美英;陈鹏飞;万小朋;;基于蚁群算法的复合材料层合板的铺层顺序优化[J];玻璃钢/复合材料;2007年06期

6 杨海;王洪国;侯鲁男;孙向群;;混沌蚁群算法及其在智能交通中的应用[J];成都大学学报(自然科学版);2007年04期

7 高大利;;基于混沌蚁群算法的物流配送路径问题仿真研究[J];赤峰学院学报(自然科学版);2011年01期

8 严小燕;李e,

本文编号:2074209


资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/wltx/2074209.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户d56e0***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com