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AuthorYin, Chenyang
AuthorDong, Ping
AuthorDu, Xiaojiang
AuthorZheng, Tao
AuthorZhang, Hongke
AuthorGuizani, Mohsen
Available date2022-11-23T14:37:24Z
Publication Date2020-10-02
Publication NameSensors (Switzerland)
Identifierhttp://dx.doi.org/10.3390/s20205902
CitationYin, C., Dong, P., Du, X., Zheng, T., Zhang, H., & Guizani, M. (2020). An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks. Sensors, 20(20), 5902.‏
ISSN14248220
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85093682378&origin=inward
URIhttp://hdl.handle.net/10576/36643
AbstractWith the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has been recognized as a promising paradigm for improving vehicular wireless network throughput by reducing packet loss in transmission. However, existing researches on NC do not consider the influence of the rapid quality change of wireless links on NC schemes, which poses a great challenge to dynamically adjust the coding rate according to the variation of link quality in vehicle-to-cloud multipath transmission in order to avoid consuming unnecessary bandwidth resources and to increase network throughput. Therefore, we propose an Adaptive Network Coding (ANC) scheme brought by the novel integration of the Hidden Markov Model (HMM) into the NC scheme to efficiently adjust the coding rate according to the estimated packet loss rate (PLR). The ANC scheme conquers the rapid change of wireless link quality to obtain the utmost throughput and reduce the packet loss in transmission. In terms of the throughput performance, the simulations and real experiment results show that the ANC scheme outperforms state-of-the-art NC schemes for vehicular wireless multipath transmission in vehicular IoT systems.
SponsorThis work was supported in part by the Fundamental Research Funds for the Central Universities under Grant No.2019YJS015, in part by the National Natural Science Foundation of China (NSFC) under Grant 61872029, and in part by the Beijing Municipal Natural Science Foundation under Grant 4182048.
Languageen
PublisherMDPI AG
SubjectMachine learning
Multipath transmission
Network coding
Vehicular network
TitleAn adaptive network coding scheme for multipath transmission in cellular-based vehicular networks
TypeArticle
Issue Number20
Volume Number20
dc.accessType Open Access


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