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A Comparison of Decentralized Congestion Control Algorithms for Multiplatooning Communications
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID iD: 0000-0002-4473-7763
KTH Royal Institute of Technology, Sweden.
Niroo Research Institute, Iran.
2019 (English)In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 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
2019. p. 674-680
Keywords [en]
cooperative communication, intelligent transportation systems, protocols, road safety, road traffic, vehicular ad hoc networks, multiplatooning communications, channel congestion, channel load, multiplatooning application, decentralized congestion control algorithms, cooperative awareness messages, cooperative intelligent transportation systems, C-ITS applications, DCC protocols, Safety, Measurement, Standards, Cams, Stability analysis
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-42608DOI: 10.1109/PERCOMW.2019.8730578Scopus ID: 2-s2.0-85067951673OAI: oai:DiVA.org:ri-42608DiVA, id: diva2:1384741
Conference
2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Available from: 2020-01-10 Created: 2020-01-10 Last updated: 2020-02-04Bibliographically approved

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Balador, Ali

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