Research On Interconnection Mechanism And Routing Algorithm Of Content-centric Internet Of Things

Network is the medium of information dissemination and sharing.The Internet of Things(IoT)is an important symbol of the new period of the development of information society.More and more entities in physical space are mapped into the information space by means of information and network.At the same time,the analysis and processing results from the information space promote the progress of the physical space directly or indirectly,which changes the way of human production and life.Interconnection is the core issue of IoT.Compared with the Internet,IoT has the characteristics in terms of heterogeneous network elements,dynamic network topology,separation of information/content generation and provision,which challenges the address-centric architecture.Content-Centric Networking(CCN)separates the content from the host as an interconnected subject with independent identification and addressing,making the interconnection more direct and efficient,and has a good match with the characteristics of IoT.However,CCN is proposed for the characteristics of the Internet and lacks specific designs for IoT,such as content matching mechanism when the identification is unknown,the bidirectional driven interconnection supporting both pull and push,the migration mechanism in the coexistence of strong and weak network elements,and the interest diffusion mechanism in the dynamic network environments.It cannot meet the requirements of IoT in flexibility,heterogeneity,dynamism.This paper studies the interconnection mechanism and routing algorithm of CCN for IoT.Specifically,the main contributions of this paper are as follows:(1)Tag-asisted naming and matching for Content-Centric IoT.Aiming at the challenge of autonomous systems in IoT to the consistency of CCN content naming rules,this paper introduces the concept of tag as an assistance of the hierarchical identification,expands the expression of interest and content matching method,realizes the fuzzy acquisition of unknown content,and improves the flexibility of CCN.Through simulation evaluations and performance comparisons,the time cost of matching and searching of TCCN(Tag-assisted CCN)keeps stable with the increase of content scale,which brings good scalability.It also improves the utilization of storage space in cache performance.(2)Bidirectional driven interconnection supporting both pull and push.Aiming at the challenge of IoT applications to pull mode of CCN,this paper proposes a bidirectional driven interconnection mechanism that supports efficient push,and proposes a loose coupling interconnection mechanism based on capability mapping and task migration for the coexistence of strong and weak network elements in IoT,which provides support for the coordination of heterogeneous network elements.Through the simulation experiment,the interconnection mechanism proposed in this paper can effectively reduce the overall transmission delay of the network.(3)Physarum-based interest diffusion and routing algorithm.Aiming at the challenge of interest forwarding and routing in the dynamic network environment of IoT,inspired by the principle of physarum foraging,this paper proposes a bio-inspired Interest diffusion and routing optimization,which improves the routing performance in the dynamic network environment.Experimental results show that physarum optimization algorithm proposed in this paper can greatly reduce the computational complexity while establishing the approximate optimal route.In summary,this paper explores the interconnection mechanism and routing technology in Content-Centric Internet of Things from three aspects:identity matching,interconnection mechanism and routing establishment.A series of models and methods are proposed,and their effectiveness is verified by theoretical analysis and experiments,which provides theoretical basis and technical support for content-centric Internet of Things.