Abstract
In this paper, we propose a reliable data dissemination strategy based on traffic data using SNC (systematic network coding) in V2I (Vehicular-to-Infrastructure) networks that consist of RSUs (Road side Unit) and OBUs (On-Board Unit). Since the time duration of OBUs serviced by an RSU is determined by the speed of fast-moving OBUs, the maximum amount of information transmitted from RSU to OBU correspondingly changes over time. Therefore, in this paper, we propose an SNC system using regression analysis models in order to disseminate the maximum amount of information while reducing the decoding error rate, and we confirm the performance by using actually collected traffic data. Experiment results show that the proposed SNC system using various regression analysis algorithms improves decoding performance while maintaining an encoding rate compared to conventional approaches.
Original language | English |
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Pages (from-to) | 327-336 |
Number of pages | 10 |
Journal | Journal of Korean Institute of Communications and Information Sciences |
Volume | 45 |
Issue number | 2 |
DOIs | |
State | Published - 1 Feb 2020 |
Bibliographical note
Publisher Copyright:© 2020, Korean Institute of Communications and Information Sciences. All rights reserved.
Keywords
- broadcast
- regression model
- SNC (Systematic Network Coding)
- traffic estimation
- vehicle to infrastructure (V2I) network