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A Comparison of Decentralized Congestion Control Algorithms for Multiplatooning Communications
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. RISE SICS, Vadies, Sweden.
KTH Royal Institute of Technology, Stockholm, Sweden.
Niroo Research Institute, Iran.
2019 (English)In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 674-680Conference paper, Published paper (Refereed)
Abstract [en]

To improve traffic safety, many Cooperative Intelligent Transportation Systems (C-ITS) applications rely on exchange of periodic safety messages between vehicles. However, as the number of connected vehicles increases, control of channel congestion becomes a bottleneck for achieving high throughput. Without a suitable congestion control method, safety critical messages such as Cooperative Awareness Messages (CAMs) may not be delivered on time in high vehicle density scenarios that can lead to dangerous situations which can threaten people's health or even life. The Decentralized Congestion Control (DCC) algorithm defined by European Telecommunications Standards Institute (ETSI), becomes a vital component of C-ITS applications to keep channel load under control and below a predefined threshold level. In this paper, we aim to analyze and evaluate the performance of a number of DCC protocols including ETSI DCC by providing a comparison between them for the multiplatooning application by using several widely-used evaluation metrics.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 674-680
Keywords [en]
Intelligent systems, Intelligent vehicle highway systems, Safety engineering, Ubiquitous computing, Vehicles, Dangerous situations, European telecommunications standards institutes, Evaluation metrics, Intelligent transportation systems, ITS applications, Safety messages, Threshold levels, Vehicle density, Traffic congestion
National Category
Health Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-44874DOI: 10.1109/PERCOMW.2019.8730578ISI: 000476951900141Scopus ID: 2-s2.0-85067951673ISBN: 9781538691519 (print)OAI: oai:DiVA.org:mdh-44874DiVA, id: diva2:1337057
Conference
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, 11 March 2019 through 15 March 2019
Available from: 2019-07-11 Created: 2019-07-11 Last updated: 2019-08-15Bibliographically approved

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Balador, Ali

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf