This paper presents a novel content search scheme based on classified content popularity for CCN. Some existing research focuses mainly on improving the cache hit rate to resolve the on-path caching problem. We decide this problem by reducing acquisition hops to obtain requested contents. Our proposed scheme can reduce the number of acquisition hops by determining the forwarding range of search packets using classified content popularity calculated on each CR. In this paper, we clarify that the proposed scheme reduces the number of acquisition hops by up to 10% compared to previous work through simulation evaluation.

A content-centric networking (CCN) is expected for high quality streaming services with in-network caching. In mobile environment, users cannot frequently receive requested segments due to handovers. This will cause retransmissions of missing segments from a server as well as playback delays and interruptions. In this study, we propose a more effective scheme to utilize caches near users for high quality streaming services in mobile CCN, and demonstrate the effectiveness of our scheme through simulation evaluations.

Packet losses significantly degrade TCP performance in high latency networks. To improve TCP performance in such networks, we proposed two methods to suppress the return of duplicate ACKs and to control minimum redundancy because FEC technology cannot work effectively when simply applied to TCP operation. Simulation evaluations show that the proposed methods enable higher throughput than the conventional methods, especially in high latency environments. In our future work, we will consider a scheme to more appropriately determine the appropriate redundancy level for network conditions and to more effectively recover lost packets in a real environment, such as where burst packet losses occur.