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Research On Routing Optimization Algorithm In Content-Centric Networking

Posted on:2014-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:J J HeFull Text:PDF
GTID:2248330398471882Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
The existing network architecture based on the TCP/IP protocols is facing with many problems, such as network control, resource allocation, safety and mobility. Related scholars in the Future network domain have proposed to build new network structure. By redesign the network architecture, these problems can be solved fundamentally. Meanwhile, researchers have put forward a series of related projects, which has profound significance for human society. This paper mainly researches the Future network architecture which is named "Content-Centric Networking", particularly its routing mechanism. By decoupling resources from their hosts, CCN brings a paradigm shift in the present network’s communication model.Routing mechanism is the core issue of CCN, where contents are addressed directly based on their names instead of their host locations. Such routing mechanism can bring with the diversity and reliability of data transmission, but also will result in retrieval redundancy problem. There are already several optimized routing strategies to solve this particular problem, such as SoCCeR mechanism. By using the ant colony algorithm, SoCCeR can optimize CCN routing distributed and effectively. Yet, SoCCeR mechanism hasn’t considered the network characteristic adequately and still has room to promote.In this paper, we propose a content-popularity-based ACO routing mechanism to promote the performance SoCCeR mechanism. Our new mechanism is designed mainly based on two aspects. First, we propose to conduct the ants’ exploration activities purposely according to the content popularity. The more popular the content objects are, the more likely the ant agents explore the best path towards them. Secondly, we introduce an adaptive pheromone updating formula to avoid the search stagnation in ACO algorithm.Finally, we design and build the simulation environment based on Matlab simulation software, which consists of three part, named exploration agency management module, exploration agency pathfinding module and exploration agency updating module. By simulate the two mechanism, we finally confirm that our new mechanism can reach better performance than SoCCeR mechanism in the following aspects, request failure rate and convergence characteristics.
Keywords/Search Tags:future network, Content-Centric Networking, routing, antcolony optimization algorithm, content popularity
PDF Full Text Request
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