Abstract
In this paper, we propose a real-time data dissemination system based on systematic network coding (SNC) in Vehicular to infrastructure (V2I) network. We consider the delivery of data broadcasted over packet erasure V2I channels where the speed of vehicles changes over time. Unlike conventional existing SNC, we propose an encoding algorithm that adaptively determines how many packets need to be network coded together while explicitly considering traffic state. Specifically, we adopt regression models for estimating traffic states and show that the proposed approach outperforms in terms of decoding error rate in time-varying traffic. Our experiment results using actual highway traffic data show that the decoding error rate of the proposed approach can be reduced by 11.11% and thus confirm the effectiveness and reliability.
| Original language | English |
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| Title of host publication | ICTC 2019 - 10th International Conference on ICT Convergence |
| Subtitle of host publication | ICT Convergence Leading the Autonomous Future |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 744-746 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781728108926 |
| DOIs | |
| State | Published - Oct 2019 |
| Event | 10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of Duration: 16 Oct 2019 → 18 Oct 2019 |
Publication series
| Name | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future |
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Conference
| Conference | 10th International Conference on Information and Communication Technology Convergence, ICTC 2019 |
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| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 16/10/19 → 18/10/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Systematic network coding (SNC)
- broadcast
- regression model
- traffic estimation
- vehicle to infrastructure (V2I) network