FQ-BF: An Efficient Forwarding and Query Optimization Framework based on Bloom Filters in NDN

Abstract

With the increase in internet users and data generation resources; Named Data Networking (NDN), a content-driven communication model that has come into the limelight. Most of the applications in today’s world are data-intensive, prefer a data-based network over the address-based network for communication. Continuous efforts by researchers try to optimize the NDN performance in various areas like routing, forwarding, caching, security, etc. NDN basically works on searching for the required data packet, so the content search is one of the promising areas in NDN that still needs improvement. This paper proposes a novel content search algorithm based on Bloom Filters (BF) named FQ-BF; which focuses on efficient and smart forwarding of I_pkt and reduces the number of queries to search a packet in the network. The important metrics where the proposed approach has shown significant improvement as compared to standard NDN approach; include the average delay of packets, improving the packet serving capacity of the network.