4.7 Article

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

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2020.3016307

关键词

Heuristic algorithms; Safety; Protocols; Scalability; Scheduling; Vehicle dynamics; Channel estimation; Channel congestion control; information dissemination rate; CSMA; CA wireless networks; DSRC; V2V communication

资金

  1. National Science Foundation under CAREER Grant [1664968]
  2. Division Of Computer and Network Systems
  3. Direct For Computer & Info Scie & Enginr [1664968] Funding Source: National Science Foundation

向作者/读者索取更多资源

This article analyzes the scheduling protocol for basic safety messages in vehicle-to-vehicle communication and presents the scalability results obtained from a simulation platform. The results demonstrate the protocol's efficacy in addressing scalability issues and controlling channel load. The scheduling protocol allows transmission of various types of messages, enhancing situational awareness in cooperative vehicle-to-vehicle communication.
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.

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