Version 1
: Received: 6 September 2023 / Approved: 7 September 2023 / Online: 8 September 2023 (04:42:20 CEST)
Version 2
: Received: 29 November 2023 / Approved: 30 November 2023 / Online: 30 November 2023 (14:59:40 CET)
How to cite:
Aziz, A.; Khalil, G.; Ayoub, Z. Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET. Preprints2023, 2023090549. https://doi.org/10.20944/preprints202309.0549.v2
Aziz, A.; Khalil, G.; Ayoub, Z. Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET. Preprints 2023, 2023090549. https://doi.org/10.20944/preprints202309.0549.v2
Aziz, A.; Khalil, G.; Ayoub, Z. Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET. Preprints2023, 2023090549. https://doi.org/10.20944/preprints202309.0549.v2
APA Style
Aziz, A., Khalil, G., & Ayoub, Z. (2023). Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET. Preprints. https://doi.org/10.20944/preprints202309.0549.v2
Chicago/Turabian Style
Aziz, A., Ghaith Khalil and Zozan Ayoub. 2023 "Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET" Preprints. https://doi.org/10.20944/preprints202309.0549.v2
Abstract
Intelligent Transportation Systems (ITS) encompasses technologies, services, and applications facilitating communication between vehicles (V2V) and between vehicles and fixed infrastructure (V2I and I2V). This mutual interaction constitutes a Vehicular Ad-Hoc Network (VANET) which supports a plethora of applications targeting critical transportation aspects, such as safety, mo-bility, and environmental considerations. Dedicated Short Range Communications (DSRC), op-erating on the 5.9 GHz band, is pivotal for such exchanges. We introduced an innovative algorithm designed to identify jamming attacks and transition the Safety Application to a secure fail-safe mode. This algorithm leverages a dual-metric strategy, incorporating both distance and PDR measurements. Field tests confirm that our algorithm adeptly recognizes the activities of deceptive jammers, ensuring a prompt shift of the safety application into its fail-safe state. This paper delves into these countermeasures, evaluating their efficiency via mathematical modelling, simulations, and on-ground testing. Findings acknowledge that these strategies bolster the reliability of safety applications in jamming scenarios. Furthermore, the approaches propounded align with ongoing standardization endeavours by relevant authorities, ensuring communication mediums remain unhindered.
Keywords
Vehicular Networks; Jammer recovery; DSRC; VANET
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
