Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Liu, Kai | - |
dc.contributor.author | Feng, Liang | - |
dc.contributor.author | Dai, Penglin | - |
dc.contributor.author | Lee, Victor C. S. | - |
dc.contributor.author | Son, Sang Hyuk | - |
dc.contributor.author | Ca, Jiannong | - |
dc.date.available | 2017-10-30T04:20:03Z | - |
dc.date.created | 2017-10-30 | - |
dc.date.issued | 2018-08 | - |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/4629 | - |
dc.description.abstract | This paper embarks the first study on exploiting the synergy between vehicular caching and network coding for enhancing the bandwidth efficiency of data broadcasting in heterogeneous vehicular networks by presenting a service architecture that exercises the software defined network concept. In particular, we consider the scenario where vehicles request a set of information and they could be served via heterogeneous wireless interfaces, such as roadside units and base stations (BSs). We formulate a novel problem of coding-assisted broadcast scheduling (CBS), aiming at maximizing the broadcast efficiency for the limited BS bandwidth by exploring the synergistic effect between vehicular caching and network coding. We prove the NP-hardness of the CBS problem by constructing a polynomial-time reduction from the simultaneous matrix completion problem. To efficiently solve the CBS problem, we employ memetic computing, which is a nature inspired computational paradigm for tackling complex problems. Specifically, we propose a memetic algorithm, which consists of a binary vector representation for encoding solutions, a fitness function for solution evaluation, a set of operators for offspring generation, a local search method for solution enhancement, and a repair operator for fixing infeasible solutions. Finally, we build the simulation model and give a comprehensive performance evaluation to demonstrate the superiority of the proposed solution. IEEE | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TITS.2017.2748381 | - |
dc.identifier.scopusid | 2-s2.0-85030664755 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Intelligent Transportation Systems, v.19, no.8, pp.2420 - 2431 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | SDN-based vehicular network | - |
dc.subject.keywordAuthor | data broadcast | - |
dc.subject.keywordAuthor | network coding | - |
dc.subject.keywordAuthor | memetic algorithm | - |
dc.subject.keywordPlus | DATA DISSEMINATION | - |
dc.subject.keywordPlus | PROTOCOL | - |
dc.subject.keywordPlus | ARCHITECTURE | - |
dc.subject.keywordPlus | DSRC | - |
dc.subject.keywordPlus | MAC | - |
dc.citation.endPage | 2431 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 2420 | - |
dc.citation.title | IEEE Transactions on Intelligent Transportation Systems | - |
dc.citation.volume | 19 | - |
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