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Scalable keyword-based data retrievals in future content-centric networks

  • University of Massachusetts Boston
  • Lehigh University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The emergence of powerful mobile devices has allowed users to publish more contents in the Internet in recent years. The existing Internet architecture cannot cope with such exponential growth in users published contents. Content-centric networks have been proposed recently to allow future Internet to be data-centric rather than network centric. Several content centric networking approaches have been proposed, but most of them assume that users know the unique identifiers of the contents that are of interests to them. SECON [1] proposed a content centric mobile network solution that provides keyword based retrievals. However, the authors do not provide detailed description on how their solution can be made scalable. In this paper, we propose two scalable solutions for keyword based retrievals in content centric networks. Our preliminary simulation results indicate that our solutions are scalable.

Original languageEnglish
Title of host publicationProceedings - 2012 8th International Conference on Mobile Ad Hoc and Sensor Networks, MSN 2012
Pages116-123
Number of pages8
DOIs
StatePublished - 2012
Event2012 8th International Conference on Mobile Ad Hoc and Sensor Networks, MSN 2012 - Chengdu, Sichuan, China
Duration: Dec 14 2012 → Dec 16 2012

Publication series

NameProceedings - 2012 8th International Conference on Mobile Ad Hoc and Sensor Networks, MSN 2012

Conference

Conference2012 8th International Conference on Mobile Ad Hoc and Sensor Networks, MSN 2012
Country/TerritoryChina
CityChengdu, Sichuan
Period12/14/12 → 12/16/12

ASJC Scopus Subject Areas

  • Computer Networks and Communications

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