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Improving Scalability of Vehicle-to-Vehicle Communication with Prediction-based STDMA
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (Radio System)
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (Radio System)
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (Radio System)
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS. (Radio System)
2014 (English)In: Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th, IEEE conference proceedings, 2014, p. 1-5Conference paper, Published paper (Refereed)
Abstract [en]

Self-organized TDMA (STDMA) has been proposed as a medium access control (MAC) protocol for Vehicle-to-Vehicle (V2V) communication. Although it avoids the unbounded channel access delay faced by other CSMA-based protocols, the reliability in high traffic density is still unsatisfactory for critical road safety applications. This paper introduces an enhanced prediction-based STDMA protocol which utilizes the spatial information available in the messages exchanged for road safety applications. Thus it allocates the radio resources more efficiently and minimizes the mutual interference among different vehicles. The results show that the prediction-based STDMA offers a significant improvement in the scalability and coverage of the V2V communication system for road safety applications with strict reliability requirement. The performance enhancement of the proposed MAC protocol is achieved without adding much complexity to the existing STDMA and it has considerable potential for further improvement.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. p. 1-5
Keywords [en]
Vehicle-to-Vehicle communication, traffic safety, STDMAk, scalability, reliability, Prediction-based, interference minimization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-145739DOI: 10.1109/VTCFall.2014.6966011ISI: 000353345400211Scopus ID: 2-s2.0-84919430611OAI: oai:DiVA.org:kth-145739DiVA, id: diva2:720242
Conference
Vehicular Technology Conference - 14, Fall,14–17 September 2014, Vancouver, Canada
Note

QC 20141208

Available from: 2014-05-28 Created: 2014-05-28 Last updated: 2015-06-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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