CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python

Niebisch M, Pfaller D, Djanatliev A (2022)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Event location: Thessaloniki GR

DOI: 10.1109/wimob55322.2022.9941695

Abstract

With the increase of vehicular software, the need for efficient and cost-effective communication arises. As cellular communication alone can introduce large monetary costs, alternative communication schemes, like cooperative downloading, have been proposed. Thereby, vehicles can use direct communication technologies to collect a full set of messages. Existing network simulators can be used to evaluate the performance of such systems, however, their accurate transmission model impedes the performance. To circumvent the performance gap, we introduce Cooperative Downloading in Python (CoDiPy) to increase the simulation performance and enable large-scale and long simulation runs. We evaluate the accuracy of our results against a state-of-the-art network simulator with the same transmission parameters. CoDiPy's improves the execution time in our experiments by a factor of up to 36 when compared to a network simulator, without inducing inaccuracies.

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How to cite

APA:

Niebisch, M., Pfaller, D., & Djanatliev, A. (2022). CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python. In Proceedings of the 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022). Thessaloniki, GR.

MLA:

Niebisch, Michael, Daniel Pfaller, and Anatoli Djanatliev. "CoDiPy: Performance Evaluation of Vehicular Cooperative Downloading in Python." Proceedings of the 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022), Thessaloniki 2022.

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