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dc.contributor.authorLee, Seungbae
dc.contributor.authorLim, Alvin
dc.contributor.authorYang, Qing
dc.date.accessioned2015-08-19T21:10:42Z
dc.date.available2015-08-19T21:10:42Z
dc.date.issued2014
dc.identifier.citationS. Lee, A. Lim, and Q. Yang. "An Empirical Study of Reliable Networking for Vehicular Networks using IEEE 802.11n", International Journal of Vehicle Autonomous Systems, vol. 12, no.2, pp.141-157, 2014.en_US
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/9199
dc.description.abstractThe IEEE 802.11n technology is becoming more and more prevalent in wireless networks due to its significant enhancements in network performance. To examine whether the reliability of 802.11n is sufficient for vehicular networks, we conducted extensive experiments on inter-vehicle and intra-vehicle communications in vehicular environments. From this empirical study, we found that 802.11n provides high performance with stable throughput and reliable coverage in most cases. However, 802.11n protocols do not detect frequent changes of propagation and polarisation due to vehicle mobility and its rate adaptation algorithms improperly select multi-stream rates under channel fading conditions, although single-stream rates perform better. Moreover, an optimal antenna alignment that enables High Throughput (HT) operation using parallel data streams needs further investigation in vehicular environments. Our findings have profound implications on the protocol design and appropriate configuration for reliable networking in vehicular networks using 802.11n.en_US
dc.publisherInderscience Publishers, Geneva, SWITZERLANDen_US
dc.subjectvehicular networksen_US
dc.subjectvehicular communicationsen_US
dc.subjectrate adaptation algorithmsen_US
dc.subjectprotocol designen_US
dc.titleAn empirical study of reliable networking for vehicular networks using IEEE 802.11nen_US
dc.typeArticleen_US
mus.citation.extentfirstpage141en_US
mus.citation.extentlastpage157en_US
mus.citation.issue2en_US
mus.citation.journaltitleInternational Journal of Vehicle Autonomous Systemsen_US
mus.citation.volume12en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.doihttp://dx.doi.org/10.1504/IJVAS.2014.060060en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentComputer Science.en_US
mus.relation.universityMontana State Universityen_US
mus.contributor.orcidYang, Qing|0000-0002-0683-5848en_US


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