Supporting multi-dimensional naming for NDN applications

Shuai Gao, Hongke Zhang, Beichuan Zhang

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

1 Scopus citations


Named Data Networking (NDN) adopts one-dimensional hierarchical naming and lookup operations based on longest prefix matching. On the other hand, users may express their requests with multi-dimensional attributes in order to meet the intrinsic spatial-temporal nature of the data existing in IoT applications. To bridge the gap between multi-dimensional user requests and one-dimensional hierarchical names in NDN applications, a novel middleware supporting multi-dimensional naming is designed to support efficient Interest expressions through name translation and optimization, as well as keep original NDN operations unchanged. Simulation experiments show that the proposed solution can improve the content retrieval efficiency and outperform the other baseline schemes in terms of the number of Interest packets and content retrieval time.

Original languageEnglish (US)
Title of host publication2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024827
StatePublished - 2016
Event2016 IEEE Globecom Workshops, GC Wkshps 2016 - Washington, United States
Duration: Dec 4 2016Dec 8 2016

Publication series

Name2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings


Other2016 IEEE Globecom Workshops, GC Wkshps 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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