FQ-BF: An Efficient Forwarding and Query Optimization Framework based on Bloom Filters in NDN
Arshdeep Singh1, Gurjit Singh Bhathal2
1Arshdeep Singh, Computer Engineering, Punjabi University, Patiala, India.
2Gurjit Singh Bhathal*, Computer Engineering, Punjabi University, Patiala, India. 

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 1001-1006 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7721118419/2019©BEIESP | DOI: 10.35940/ijrte.D7721.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Bloom Filters (BF), Bloom Matrix (BM), Compressed Bloom Filters (CPBF), Counting Bloom Filters (CBF), Named Data Networking (NDN).
Scope of the Article: Waveform Optimization for Wireless Power Transfer.