Publication: Decentralized congestion control in ETSI Intelligent Transport Systems and its effect on safety applications
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2020-09
Defense date
2020-10-20
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Abstract
Decentralized Congestion Control (DCC) mechanisms are a crucial part of Intelligent
Transport Systems (ITS) and Vehicular ad-hoc networks (VANETs). It is through the
use of DCC that a network maximizes its throughput and efficiency by allocating resources
(i.e., access to the medium) fairly in congestion situations. The ITS framework defined by
the European Telecommunications Standards Institute (ETSI) considers the usage of DCC
both in the Access layer and as part of a cross-layer architecture. This means that DCC
mechanisms influence the performance of elements in different layers. One of the components
that are directly influenced by DCC is the Cooperative Awareness (CA) basic service —the
entity that keeps vehicles aware of the presence of each other on the road. In this thesis, we
perform an analysis of the DCC mechanism defined by ETSI, particularly an analytical and
experimental evaluation of the performance of the ETSI DCC Adaptive Approach algorithm,
comparing it to related algorithms including our own proposal (Dual-alfa). Additionally, we
present an evaluation of the effect of DCC on the end-to-end delay of the CA basic service, and
propose Generate-on-Time (GoT), an addition to the standard that accounts for delays caused
by DCC and the effects these delays bring on other metrics. Results from this thesis show that
Dual-alfa is a valid addition to ETSI Adaptive DCC in order to account for transitory situations.
Furthermore, the evaluation of Generate-on-Time showed that it improves the performance
of Cooperative Awareness Messages (CAMs) when multiple types of traffic coexist.
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Keywords
Decentralized Congestion Control, DCC, European Telecommunications Standards Institute, ETSI, Intelligent transportation systems, Vehicular ad-hoc networks, VANETs