Research On Optimization Strategy Of Routing And Forwarding In Content Center Network

Content-Centric Networking(CCN)is a new type of network architecture that is fundamentally different from the traditional TCP/IP networks.Its idea is derived from the information-centric network architecture in the future network architecture which transform the Internet from an address-centric host interconnect architecture to a non-host interconnect architecture centered on the content of the user or the application.The nodes in the network not only perform the data transmission function,but also provide the network with computing and storage capabilities.Caching the network content on the edge nodes can significantly reduce the transmission of duplicate information in the network and improve the network performance and user experience.The routing and forwarding strategy of the CCN has great influence on the efficiency and performance of the entire network system.Due to the multi-source nature of content and no-address structure,CCN creates a different routing problem than the TCP/IP network.Therefore,the new routing and forwarding strategy must be proposed.This thesis first reviews the content-centric network routing and forwarding strategies that have been proposed.Based on previous research work,it proposes new routing and forwarding strategies.Based on the routing policy of the routing information announcement,this thesis proposes a single-path routing strategy CLSR that based on cache advertisement for routing problems.CLSR addresses the issue of flooding of routing updates caused by the high frequency of cache replacement.By differentiating different content source nodes,content source nodes can perform different routing update information distribution and processing strategies,and use content caching to reduce the flooding of routing information.The CCN network routing model was established in the Matlab simulation platform to verify CSLR's ability to establish the network topology and process route updates.It also compared the NLSR routing policy with CLSR to verify CLSR advantage in reducing in-network route update messages and improving network performance.Based on the traditional SoCCeR ant colony forwarding strategy,this thesis proposes an ant colony optimized forwarding strategy CP-ACO based on pheromone compensation.For the problem that SoCCeR strategy algorithm's initial convergence speed is slow and the algorithm execution is easy to stagnate in the suboptimal solution,CP-ACO distinguishes the execution stage of the ant colony algorithm on the dispersion of the whole pheromone,and adopts special information in the initial stage of the ant colony algorithm.The prime compensation strategy improves convergence speed.During the high dispersion period,distance-based outlier detection methods are used to detect the high pheromone interfaces,and perform pheromone compensation strategies on these interfaces to avoid stalling searches due to too many suboptimal interface pheromone.Finally,the ndnsim simulation platform is used to simulate the optimized ant colony forwarding strategy.The experimental result shows that the algorithm has a better performance in reducing content request delay and rapid response to network changes,which improves the convergence speed of the ant colony forwarding strategy and avoids the stagnation problem of Ants.Search Algorithm.