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A case study on achieving fair data age distribution in vehicular communications
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
RISE - Research Institutes of Sweden, ICT, Viktoria.ORCID iD: 0000-0001-0908-1483
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2017 (English)In: Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS, 2017, p. 307-317Conference paper, Published paper (Refereed)
Abstract [en]

In vehicular communication protocol stacks, received messages may not always be decoded successfully due to the complexity of the decoding functions, the uncertainty of the communication load and the limited computation resources. Even worse, an improper implementation of the protocol stack may cause an unfair data age distribution among all the communicating vehicles (the receiving bias problem). In such cases, some vehicles are almost locked out of the vehicular communication, causing potential safety risk in scenarios such as intersection passing. To our knowledge, this problem has not been systematically studied in the fields of vehicular communication and intelligent transport systems (ITS). This paper analyzes the root of the receiving bias problem and proposes architectural solutions to balance data age distribution. Simulation studies based on commercial devices demonstrate the effectiveness of these solutions. In addition, our system has been successfully applied during the Grand Cooperative Driving Challenge, where complicated scenarios involving platooning maneuvering and intersection coordination were conducted.

Place, publisher, year, edition, pages
2017. p. 307-317
Keywords [en]
Decoding, Intelligent systems, Maneuverability, Risk perception, Traffic control, Architectural solutions, Commercial Devices, Communicating vehicles, Computation resources, Cooperative driving, Intelligent transport systems, Simulation studies, Vehicular communications, Intelligent vehicle highway systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-30881DOI: 10.1109/RTAS.2017.7Scopus ID: 2-s2.0-85021802444ISBN: 9781509052691 OAI: oai:DiVA.org:ri-30881DiVA, id: diva2:1139333
Conference
23rd IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2017, 18 April 2017 through 20 April 2017
Available from: 2017-09-07 Created: 2017-09-07 Last updated: 2018-08-14Bibliographically approved

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Chen, Lei

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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