Reference : An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Ne...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/47266
An Age-Of-Information Perspective on Decentralized Congestion Control in Vehicular Networks
English
Turcanu, Ion mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Engel >]
Baiocchi, Andrea [Università degli Studi di Roma "La Sapienza"]
Lyamin, Nikita [Volvo Car Corporation, Sweden]
Vinel, Alexey [Halmstad University]
Jun-2021
19th Mediterranean Communication and Computer Networking Conference, Online Conference, 15-17 June 2021
Yes
No
International
19th Mediterranean Communication and Computer Networking Conference
from 15-06-2021 to 17-06-2021
[en] Age of Information ; Decentralized Congestion Control ; Performance Evaluation ; Vehicular Networks
[en] Vehicular networking enables a wide range of emerging Cooperative Intelligent Transportation System (C-ITS) applications, from safety to traffic efficiency and infotainment. Many of these applications depend on the reliability and timeliness of status information periodically exchanged among vehicles on the same wireless communication channel. A major effort has been spent, especially by standardization bodies, to define congestion control algorithms for the vehicular networking environment. The picture is, however, more complex than simply controlling the load level on the channel, given the non-trivial interplay of delivery reliability, system throughput, and timeliness of updates. In this paper, we provide a comprehensive performance evaluation of the main state-of- the-art broadcast rate control algorithms from the point of view of channel load, utilization efficiency, and information freshness. We evaluate these algorithms in a realistic simulation environment and describe a centralized approach to define a bound on the performance. We show that controlling the congestion based on either channel load or information freshness only leads to sub-optimal performance.
http://hdl.handle.net/10993/47266
10.1109/MedComNet52149.2021.9501273
H2020 ; 814956 - 5G-DRIVE - 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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