In VANETs, the important and effective applications of vehicle localization include safety and communication applications. Thus, it is difficult to get very accurate localization in the dynamic and often very fluctuating environment of VANET. This research responds to this challenge with a keen thrust on improving vehicle localization using the Mobility Data Verification process. The primary goal of this work is to achieve high accuracy of vehicle positioning within VANET by checking the coherence of mobility data of moving vehicles. Hence, we present a concept that builds upon Mobility Data Verification to provide real-time location details from vehicles. Both GPS and onboard sensors feed this method, which uses a multi-level verification to flag out or eliminate the errors of deliberately spoofed data points. We use simulations to evaluate and validate the effectiveness of the proposed verification approach. As the proposed system, our previously developed and fine-tuned weighted localization (OWL) strategy does so. The performance evaluation results suggest that our proposed solution is feasible to distinguish automobiles that are not trustworthy and improve the performance of the localization algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Improving VANET Localization Performance with Data Verification: Challenges and Solutions




    Erscheinungsdatum :

    11.12.2024


    Format / Umfang :

    688012 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vanet : challenges and opportunities

    Botkar, Sonali P. | TIBKAT | 2021


    Scaling VANET security through cooperative message verification

    Hongyu Jin / Papadimitratos, Panos | IEEE | 2015


    Improving VANET protocols via network science

    Monteiro, Romeu / Sargento, Susana / Viriyasitavat, Wantanee et al. | IEEE | 2012


    Vehicle node localization without GPS in VANET

    Xiong, Wei / Hu, Xiaoya / Wang, Bingwen et al. | IEEE | 2014


    Traffic information verification techniques in VANET: A review

    Patel, Bhumika / Khatiwala, Fenil / Reshamwala, Vijay | IEEE | 2017