Design and Implementation of an Efficient Scalable Forwarding in Named Data Networking (NDN) Using Huffman Coding

This paper presents software-based name encoding technique which is used for NDN by enhancing Huffman coding. Previous findings ascertained that there is need to reduce memory access time during insertion, deletion and update in NDN. A scalable and memory efficient scheme that improves memory access of NDN during insertion, deletion and update in the PIT using Huffman coding is proposed. Using the proposed approach, components in the named URL are assigned as tokens wherein each component will be provided with a token. The encoded names are stored in the EHNRT which tends to facilitate lookup in a cost effective manner. The findings of the present research revealed that the proposed method EHNRT will reduce memory consummation 47.30% compared to the most effective scheme ENPT for up to 19 million prefixes per seconds.