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

Trajectory-prediction based relay scheme for time-sensitive data communication in VANETs


Abstract

In the Vehicular Ad-hoc Network (VANET), the data transmission of time-sensitive applications requires low latency, such as accident warnings, driving guidance, etc. However, frequent changes of topology in VANET will result in data transmission failures. In order to improve the efficiency of VANETs data transmission and increase the timeliness of data, this paper proposes a relay scheme based on Recurrent Neural Network (RNN) trajectory prediction, which can be used to select the optimal relay vehicle to transmit data. The proposed scheme learns vehicle trajectory in a distributed manner and calculates the predicted trajectory, and then the optimal vehicle can be selected to complete the data transmission, which ensures the timeliness of the data. Finally, we carry out a set of simulations to demonstrate the performance of the algorithm. Simulation results show that the proposed scheme enhances the timeliness of the data and the accuracy of the predicted driving trajectory.


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Cite this article

[IEEE Style]
Z. Jin, Y. Xu, X. Zhang, J. Wang and L. Zhang, "Trajectory-prediction based relay scheme for time-sensitive data communication in VANETs," KSII Transactions on Internet and Information Systems, vol. 14, no. 8, pp. 3399-3419, 2020. DOI: 10.3837/tiis.2020.08.014.

[ACM Style]
Zilong Jin, Yuxin Xu, Xiaorui Zhang, Jin Wang, and Lejun Zhang. 2020. Trajectory-prediction based relay scheme for time-sensitive data communication in VANETs. KSII Transactions on Internet and Information Systems, 14, 8, (2020), 3399-3419. DOI: 10.3837/tiis.2020.08.014.