Robust and Scalable V2V Safety Communication Based on the SAE J2945/1 Standard

This article analyzes the scheduling protocol for basic safety messages standardized in the SAE J2945/1 and presents large-scale scalability results obtained from a high-fidelity simulation platform. The presented results demonstrate the protocol's efficacy to address the scalability issues in...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2022-02, Vol.23 (2), p.861-872
Main Authors: Gani, S M Osman, Fallah, Yaser P., Krishnan, Hariharan
Format: Article
Language:English
Subjects:
Algorithms
Channel congestion control
Channel estimation
Congestion
Control algorithms
Control theory
CSMA/CA wireless networks
DSRC
Error analysis
Heuristic algorithms
information dissemination rate
Messages
Optimization
Parameters
Position measurement
Protocols
Safety
Scalability
Scheduling
Situational awareness
Tracking errors
V2V communication
Vehicle dynamics
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Summary:This article analyzes the scheduling protocol for basic safety messages standardized in the SAE J2945/1 and presents large-scale scalability results obtained from a high-fidelity simulation platform. The presented results demonstrate the protocol's efficacy to address the scalability issues in vehicle-to-vehicle communication. By employing a distributed opportunistic approach, the SAE J2945/1 congestion control algorithm keeps the overall offered channel load within an optimal operating range, while meeting the minimum tracking requirements set forth by upper-layer applications. The scheduling protocol allows transmission of event-triggered and vehicle-dynamics driven messages that further the situational awareness in cooperative vehicle-to-vehicle communications. The validation results are evaluated using position tracking error as the main performance measure, with age of communicated information as the supporting evaluation measure of the congestion control algorithm. In addition, we examine the optimality of the default settings of the SAE J2915/1 congestion control algorithm parameters. Comprehensive analysis and trade-off study of the control parameters reveal some areas of improvement to further the algorithm's efficacy.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2020.3016307