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Survey on decentralized congestion control methods for vehicular communication
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0002-4473-7763
University of L'Aquila, Italy; Radiolabs Consortium, Italy.
University of L'Aquila, Italy.
University of L'Aquila, Italy; Radiolabs Consortium, Italy.
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2022 (English)In: Vehicular Communications, ISSN 2214-2096, E-ISSN 2214-210X, Vol. 33, article id 100394Article in journal (Refereed) Published
Abstract [en]

Vehicular communications have grown in interest over the years and are nowadays recognized as a pillar for the Intelligent Transportation Systems (ITSs) in order to ensure an efficient management of the road traffic and to achieve a reduction in the number of traffic accidents. To support the safety applications, both the ETSI ITS-G5 and IEEE 1609 standard families require each vehicle to deliver periodic awareness messages throughout the neighborhood. As the vehicles density grows, the scenario dynamics may require a high message exchange that can easily lead to a radio channel congestion issue and then to a degradation on safety critical services. ETSI has defined a Decentralized Congestion Control (DCC) mechanism to mitigate the channel congestion acting on the transmission parameters (i.e., message rate, transmit power and data-rate) with performances that vary according to the specific algorithm. In this paper, a review of the DCC standardization activities is proposed as well as an analysis of the existing methods and algorithms for the congestion mitigation. Also, some applied machine learning techniques for DCC are addressed.

Place, publisher, year, edition, pages
2022. Vol. 33, article id 100394
Keywords [en]
Vehicular networks, Wireless communication, Decentralized congestion control, ETSI ITS-G5, DSRC, Machine learning
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-56398DOI: 10.1016/j.vehcom.2021.100394OAI: oai:DiVA.org:ri-56398DiVA, id: diva2:1593045
Available from: 2021-09-10 Created: 2021-09-10 Last updated: 2023-01-04Bibliographically approved

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Balador, Ali

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