• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Performance Evaluation of a Method to Improve Fairness in In-Vehicle Non-Destructive Arbitration Using ID Rotation


Abstract

A number of automotive electronics—safety, driver assistance, and infotainment devices—have been deployed in recent vehicles. This raises new challenges regarding in-vehicular network arbitration. A performance analysis of non-destructive arbitration has revealed a fairness issue. The arbitration prioritizes without collisions, despite multiple simultaneous transmissions; however, the performances of the highest priority node and the lowest priority node are very different. In this paper, an ID-rotation arbitration method to solve the arbitration-fairness problem is proposed. The proposed algorithm was applied to several engine control units (ECUs), including a controller area network (CAN) controller. Experimental results showed that the algorithm improved the fairness as well as the total throughput within a specific performance constraint.


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Cite this article

[IEEE Style]
P. Park, R. R. Igorevich, J. Yoon, "Performance Evaluation of a Method to Improve Fairness in In-Vehicle Non-Destructive Arbitration Using ID Rotation," KSII Transactions on Internet and Information Systems, vol. 11, no. 10, pp. 5098-5115, 2017. DOI: 10.3837/tiis.2017.10.022.

[ACM Style]
Pusik Park, Rustam Rakhimov Igorevich, and Jongho Yoon. 2017. Performance Evaluation of a Method to Improve Fairness in In-Vehicle Non-Destructive Arbitration Using ID Rotation. KSII Transactions on Internet and Information Systems, 11, 10, (2017), 5098-5115. DOI: 10.3837/tiis.2017.10.022.

[BibTeX Style]
@article{tiis:21586, title="Performance Evaluation of a Method to Improve Fairness in In-Vehicle Non-Destructive Arbitration Using ID Rotation", author="Pusik Park and Rustam Rakhimov Igorevich and Jongho Yoon and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2017.10.022}, volume={11}, number={10}, year="2017", month={October}, pages={5098-5115}}