Poster: Lagrange-Based Optimized Forwarding Strategy for Information-Centric Vehicular Networks

Muhammad Nadeem Ali, Muhammad Imran, Ihsan Ullah, Gokhan Secinti, Byung Seo Kim

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

Abstract

Vehicular ad-hoc networks (VANETs) are characterized by high mobility, dynamic topology changes, and unstable connections, and additionally, they require stringent communication requirements. To make VANET communication more efficient, this poster proposes a Lagrange-based optimized forwarding strategy (LOFS) for information-centric VANETs. The LOFS accounts for several parameters, including link expiration time (LET), link congestion, quality of service (QoS), and traffic conditions to select the next vehicle for Interest and Data packet forwarding. In addition, LOFS mitigates the broadcast storm problem of the existing multicast forwarding strategy, designed for information-centric VANETs.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE/ACM Symposium on Edge Computing, SEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages533-535
Number of pages3
ISBN (Electronic)9798350378283
DOIs
Publication statusPublished - 2024
Event9th Annual IEEE/ACM Symposium on Edge Computing, SEC 2024 - Rome, Italy
Duration: 4 Dec 20247 Dec 2024

Publication series

NameProceedings - 2024 IEEE/ACM Symposium on Edge Computing, SEC 2024

Conference

Conference9th Annual IEEE/ACM Symposium on Edge Computing, SEC 2024
Country/TerritoryItaly
CityRome
Period4/12/247/12/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • ICN
  • Lagrange optimization
  • Optimized forwarding strategy
  • QoS
  • VANETs

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