skip to main content
10.1145/2934872.2959055acmconferencesArticle/Chapter ViewAbstractPublication PagescommConference Proceedingsconference-collections
short-paper
Free Access

Named Data Networking Based Smart Home Lighting

Published:22 August 2016Publication History

ABSTRACT

In this paper, we provide an initial evaluation of a home smart lighting system - demonstrating the advantages of ICN paradigm through the primitive features of NDN architecture. A prototype of NDN based smart home lighting was developed and benchmarked against the IP cloud based approach.

References

  1. 1.M. Amadeo, C. Campolo, and A. Molinaro. Internet of things via named data networking: The support of push traffic. In Network of the Future, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  2. 2.V. Jacobson, D. K. Smetters, J. D. Thornton, M. F. Plass, N. H. Briggs, and R. L. Braynard. Networking named content. In ACM CoNEXT, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Y. Zhang, D. Raychadhuri, L. Grieco, E. Baccelli, J. Burke, R. Ravindran, G. Wang, A. Lindren, B. Ahlgren, and O. Schelen. Requirements and Challenges for IoT over ICN. IRTF-Draft, 2016.Google ScholarGoogle Scholar

Index Terms

  1. Named Data Networking Based Smart Home Lighting

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGCOMM '16: Proceedings of the 2016 ACM SIGCOMM Conference
        August 2016
        645 pages
        ISBN:9781450341936
        DOI:10.1145/2934872

        Copyright © 2016 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 22 August 2016

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper

        Acceptance Rates

        SIGCOMM '16 Paper Acceptance Rate39of231submissions,17%Overall Acceptance Rate554of3,547submissions,16%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader