Fuzzy interest forwarding

Kevin Chan, Bongjun Ko, Spyridon Mastorakis, Alexander Afanasyev, Lixia Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


In the current Named Data Networking implementation, forwarding a data request requires finding an exact match between the prefix of the name carried in the request and a forwarding table entry. However, consumers may not always know the exact naming, or an exact prefix, of their desired data. The current approach to this problem-establishing naming conventions and performing name lookup-can be infeasible in highly ad hoc, heterogeneous, and dynamic environments: the same data can be named using different terms or even languages, naming conventions may be minimal if they exist at all, and name lookups can be costly. In this paper, we present a fuzzy Interest forwarding approach that exploits semantic similarities between the names carried in Interest packets and the names of potentially matching data in CS and entries in FIB. We describe the fuzzy Interest forwarding approach and outline the semantic understanding function that determines the name matching.

Original languageEnglish (US)
Title of host publicationAsian Internet Engineering Conference, AINTEC 2017
PublisherAssociation for Computing Machinery, Inc
Number of pages7
ISBN (Electronic)9781450355513
StatePublished - Nov 20 2017
Externally publishedYes
Event13th Asian Internet Engineering Conference, AINTEC 2017 - Bangkok, Thailand
Duration: Nov 20 2017Nov 22 2017

Publication series

NameAsian Internet Engineering Conference, AINTEC 2017


Conference13th Asian Internet Engineering Conference, AINTEC 2017


  • Fuzzy matching
  • Interest forwarding
  • Named data networking

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications
  • Software


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