TCCN: Tag-assisted Content Centric Networking for Internet of Things

Abstract

As one of the future networking architecture, Content Centric Networking (CCN) regards content as a first-class network entity and fits Internet of Things (IoT) applications well. CCN retrieves contents by their unique hierarchical names. However, in IoT, different autonomous networks have their own naming rules. When a mobile node enters a new network environment and interacts with local networks, it can hardly know the exact name of the content that it needs. In this paper, we propose Tag-assisted Content Centric Networking (TCCN) for IoT, which is a more flexible and efficient scheme for the content sharing between mobile node and local IoT network. We design the tables and structures of three basic components of CCN. Based on counting bloom filter, we further design Tag Filter (TF) for interest-content matching and forwarding information lookup. By using TF, Content Store (CS) can quickly check whether coming Interests can be satisfied locally. Moreover, in our designed Tag-based Forwarding Information Base (T-FIB), we change the traditional prefix-faces structure into face-tags structure, which can greatly reduce the size of FIB and the lookup time consumption. We design the Tag-based Caching Strategy (TCS), by which the node can decide whether to cache the coming content according to the TF and a counter threshold. By using TCS, contents with similar set of tags are cached intensively, which benefits the forwarding information.We conduct simulations to evaluate the validity and performance of our proposed methods.