The current Internet architecture was designed more than 30 years ago for a very different set of services than those used today. Several new architectures have been proposed for a Future Internet to better meet today's and future requirements. Content centric networking (CCN) is a prominent information centric networking (ICN) architecture which gains worldwide attention by researchers and the focus of this article. CCN, like other ICN architectures, is based on the idea of naming content instead of hosts, allowing routers to cache popular content. It has been shown that CCN can support point-to-point real-time conversations, for example voice or video calls. However, it has not been defined how node mobility can be achieved in such a scenario with real-time requirements. This article illustrates the problems of mobility in CCN for real-time applications and proposes three different solutions. A testbed has been established to emulate the handover procedures of the different proposals and analyze the quality of experience (QoE) score during handover. The results show that the presented approaches can reduce the handover delay time and also reduce signaling overhead in CCN.
Abstract. The current Internet architecture was designed more than 30 years ago for a very different set of services than those used today. Several new architectures have been proposed for a Future Internet to better meet todays and future requirements. Content Centric Networking (CCN) is one of those new architectures gaining worldwide attention by researchers and the focus of this article. CCN is based on naming content instead of hosts allowing routers to cache popular content. It has been shown that CCN can also support point-to-point real-time conversations, for example voice or video calls. However, it has not been defined how node mobility can be achieved in such a real-time scenario with strong time constraints. In this paper a close study to the handover algorithms has been carried out. A handover decision maker, which is based on neuro-fuzzy system (NFS) is proposed and evaluated. The results show that the proposed decision maker meets the design targets.
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