Reliable interest forwarding strategy for underwater vehicular NDN

Muhammad Toaha Raza Khan, Malik Muhammad Saad, Junho Seo, Syed Hassan Ahmed, Dongkyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Named Data Networking (NDN) is an information centric networking paradigm designed to support future internet traffic. However, the conventional NDN communication mechanism lacks the ability to adapt the dynamic lossy underwater acoustic channel. With underwater producer and consumer mobility, NDN communication becomes more challenging. We propose an evolved NDN architecture for underwater vehicular named data networking (UV-NDN) that keeps record of personal and neighboring PIT with manager handling the interest packets and data packets. In addition, we introduce a periodic interest generation mechanism to make nodes in the close vicinity aware of the neighboring node personal PIT. Performance evaluation shows that UV-NDN outperforms conventional NDN.

Original languageEnglish
Title of host publicationProceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021
PublisherAssociation for Computing Machinery
Pages1900-1905
Number of pages6
ISBN (Electronic)9781450381048
DOIs
StatePublished - 22 Mar 2021
Event36th Annual ACM Symposium on Applied Computing, SAC 2021 - Virtual, Online, Korea, Republic of
Duration: 22 Mar 202126 Mar 2021

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference36th Annual ACM Symposium on Applied Computing, SAC 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period22/03/2126/03/21

Keywords

  • ACM proceedings
  • LATEX
  • text tagging

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