Loughborough University
Browse

LSSDVC a location-based VANET caching method with Semi-SDN paradigm

conference contribution
posted on 2025-03-05, 12:08 authored by Yuanchen LiYuanchen Li, Lin GuanLin Guan, Ziyang Zhang, George VogiatzisGeorge Vogiatzis

Vehicular Ad Hoc Networks (VANET) are anticipated to support a wide array of future applications, including accident warnings, traffic information exchange, and real-time navigation updates. However, as VANETs have evolved from Mobile Ad Hoc Networks (MANET), traditional communication methods in VANET face significant challenges due to the limited signal transmission range. Moreover, the highly dynamic topology of VANETs further complicates communication, requiring additional overhead for the successful delivery of communication packets to their intended destination nodes. This overhead can significantly impair both network performance and efficiency. To address these challenges, this paper introduces a novel caching method for VANETs that leverages the physical state of communication nodes and the popularity of data items, within the framework of the Semi- Software Defined Networking (Semi-SDN) paradigm. The proposed method, termed Location and Popularity-based Semi-SDN Vehicular Caching (LSSDVC), seeks to reduce communication overhead and enhance system Quality of Service (QoS). By integrating the Semi-SDN communication model into traditional VANETs and jointly considering the physical state of vehicle nodes and the popularity of data, LSSDVC improves the efficiency of data dissemination. Empirical experiments demonstrate that the proposed caching method outperforms existing benchmarks in terms of link load, delay, and one-hop hit ratio in both urban and highway environments

History

School

  • Science

Department

  • Computer Science

Published in

2024 IEEE 24th International Conference on Communication Technology

Source

2024 IEEE 24th International Conference on Communication Technology

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

This accepted manuscript will be made available under the Creative Commons Attribution licence (CC BY) under the JISC UK green open access agreement.

Acceptance date

2024-09-23

ISSN

1673-5447

Language

  • en

Location

Chengdu, China

Event dates

18th October 2024 - 20th October 2024

Depositor

Yuanchen Li. Deposit date: 26 February 2025

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC