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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/ccwc51...
Article . 2021 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Joint Application of Sliding Window and Full-Vector RLNC for Vehicular Platooning

Authors: Elif Tasdemir; Frank H. P. Fitzek; Christopher Lehmann;

Joint Application of Sliding Window and Full-Vector RLNC for Vehicular Platooning

Abstract

In order to maintain platooning, the message from Platoon Leader (PL) has to be received by all Platoon Members (PMs). However, the connectivity of the PL with moving PMs cannot be guaranteed all the time because of signal interference, mobility or limited coverage. Therefore we propose to use Random Linear Network Coding (RLNC) to improve reliability and latency. Sliding window RLNC is one of the methods that was developed for low latency. However, a feedback mechanism was necessary to tune the encoding window. Hence, Caterpillar Random Linear Network Coding (CRLNC) was developed as a practical approach to sliding window RLNC to avoid the feedback. In CRLNC, a fixed encoding window size is used. Delay and packet loss performance of CRLNC have not been evaluated in a multi-hop broadcast scenario. Therefore in this work, we apply CRLNC to the platooning scenario as well as investigate the effect of encoding window size and code rate. In addition, we apply CRLNC joint with the full-vector RLNC recoding in the vehicular platooning scenario. Full-vector RLNC recoding is a method combining all packets in the buffer to generate coded packets. Our simulation results show that when CRLNC coding technique is applied to vehicles, if four PMs broadcast after PL, the mean packet loss is reduced to 4%. On the other hand, when CRLNC jointly used with full-vector RLNC recoding, if three PMs broadcast, the mean packet loss is reduced to 0.2%. We compared our results with the store-and-forward paradigm called NoCode in which packet loss is 20%. Moreover, we observed that with a joint application of CRLNC and full-vector RLNC, the packet in-order delivery delay is almost as low as NoCode case, which shows that we do not compromise latency while increasing the reliability.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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