Content discovery for information-centric networking

Munyoung Lee, Junghwan Song, Kideok Cho, Sangheon Pack, Ted Kwon, Jussi Kangasharju, Yanghee Choi

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)


The information-centric networking (ICN) adopts a content name as a network identifier and utilizes in-network storages to cache the contents. With the name-based routing and content caching, ICN can provide substantial benefits such as faster content retrieval and network traffic reduction by exploiting a nearby (cached) copy of content and reducing duplicated transmissions for the same content request. Prior researches on ICN usually rely on an opportunistic cache-hit (happen-to-meet) to utilize the in-network storages. In the happen-to-meet fashion, only the content cached on the path towards the content source can be utilized, which limits the network-wide usage of the in-network storages. To exploit cached contents better, we propose a content discovery scheme, dubbed SCAN, which can exploit nearby content copies for the efficient delivery. SCAN exchanges the cached content information among the neighbor routers using Bloom filters for the content discovery. With extensive simulations, SCAN shows better performance than a happen-to-meet cache-hit scheme in terms of average hop counts, traffic volume, and load balancing among links.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalComputer Networks
Publication statusPublished - 2015

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the “ National Research Foundation of Korea (NRF) ” funded by the Ministry of Science, ICT & future Planning ( 2013R1A2A2A01016562 ), by the ICT R&D program of MSIP/IITP , Republic of Korea (2014-044-011-003, Open control based on distributed mobile core network), and by the Cisco University Research Program Fund, an advised fund of Silicon Valley Community Foundation ( CG# 576049 ).

Publisher Copyright:
© 2014 Elsevier B.V.


  • Bloom filter
  • Content discovery
  • Information-centric networking

ASJC Scopus subject areas

  • Computer Networks and Communications


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