Research On Caching Performance And Strategy For Content Centric Ad Hoc Networking

In parallel to mobile Internet's fast growth,about 2/3 traffic would be generated by streaming media by 2019.The content dissemination would face to great challenges.Traditional internet based on IP has achieved a great deal of success in content delivery during the past few decades.However,TCP/IP is facing many problems,such as mobility,scalability,controllability and so on.Content centric networking is an innovative networking paradigm,which foucuses on content rather than location.In-networking caching is one of the most issues in content centric networking,which can reduce the transmission delay and congestion.The reason is that the requests can be satisfied by not only the content provider but also the intermediate nodes along the path.The work was supported by the National Natural Science Foundation "The Research of Caching for Content Centric Mobile Social Networking",and the Open Foundation of Beijing Key Laboratory of Network System Architecture and Convergence "The Research of Caching for Content Centric Wireless Networks based on User Preferences".This thesis focuses on in-network caching,and makes research on cache feature of content centric in-network caching and efficient cross-layer caching strategy,designes caching strategy based on the caching feature.This thesis summarizes the research status of content centric network architecture and in-network caching.In the research of caching feature based on complex network,the effect of caching node on network is analysis based on the feature of content centric networking caching.Then,the equivalent long-range edge is characterized,and furthermore analyse small world feature using average path length and clustering coefficient and scale free feature using degree distribution.Simulation results show that the caching presents the feature of complex network.In the research of caching strategy,the cross-layer caching mechanism is proposed based on grey relational analysis.Firstly,hierarchical system model is given.Then,jointly considering the application layer,network layer and physical layer caching facors,an appropriate caching process based on grey relational analysis is developed.Simulation results show that the proposed schemes can improve higher cache hit ratio and less average hops.