E. Eze, Sijing Zhang, E. Liu, Emmanuel N. Nweso, E. C. Joy
{"title":"RECMAC: Reliable and efficient cooperative cross-layer MAC scheme for vehicular communication based on random network coding technique","authors":"E. Eze, Sijing Zhang, E. Liu, Emmanuel N. Nweso, E. C. Joy","doi":"10.1109/IConAC.2016.7604943","DOIUrl":null,"url":null,"abstract":"In an unreliable cluster-based, broadcast-oriented vehicular network setting, we investigate the transmission reliability and throughput performance of random network coding (RNC) as a function of the packet generate rate. Our proposed model consists of a source vehicle broadcasting packets to a set of receivers (i.e. one-to-many) over independent broadcast erasure channels. The source vehicle performs RNC on N packets and broadcasts the encoded message to a set of receivers. In each hop, several vehicles form a cluster and cooperatively transmit the encoded or re-encoded packet. The combination of RNC, cluster based, and cooperative communications enables RECMAC to optimally minimize data redundancy, which means less overhead, and improve reliability as opposed to existing coding-based solutions. Theoretic analyses and simulation results show that RECMAC scheme can achieve optimal performance in terms of transmission reliability and throughput.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 22nd International Conference on Automation and Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IConAC.2016.7604943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In an unreliable cluster-based, broadcast-oriented vehicular network setting, we investigate the transmission reliability and throughput performance of random network coding (RNC) as a function of the packet generate rate. Our proposed model consists of a source vehicle broadcasting packets to a set of receivers (i.e. one-to-many) over independent broadcast erasure channels. The source vehicle performs RNC on N packets and broadcasts the encoded message to a set of receivers. In each hop, several vehicles form a cluster and cooperatively transmit the encoded or re-encoded packet. The combination of RNC, cluster based, and cooperative communications enables RECMAC to optimally minimize data redundancy, which means less overhead, and improve reliability as opposed to existing coding-based solutions. Theoretic analyses and simulation results show that RECMAC scheme can achieve optimal performance in terms of transmission reliability and throughput.