RT Journal Article
T1 Experimental evaluation of the ETSI DCC adaptive approach and related algorithms
A1 Amador Molina, Óscar
A1 Soto Campos, Ignacio
A1 Calderón Pastor, María Carmen
A1 Urueña Pascual, Manuel
AB Decentralized Congestion Control (DCC) mechanisms have been a core part of protocol stacks for vehicular networks since their inception and standardization. The ETSI ITS-G5 protocol stack for vehicular communications considers the usage of DCC not only in the network or access layers, but also as a part of the cross-layer architecture that influences how often messages are generated and transmitted. ETSI DCC mechanisms have evolved from a reactive approach based on a finite state machine, to an adaptive approach that relies on a linear control algorithm. This linear control algorithm, called LIMERIC, is the basis of the mechanism used in the ETSI DCC Adaptive Approach. The behavior of this algorithm depends on a set of parameters. Different values for these parameters have been proposed in the literature, including those defined in the ETSI specification. A recent proposal is Dual-alfa, which chooses parameters to improve convergence and fairness when the algorithm has to react to fast changes in the use of the shared medium (transitory situations). This article evaluates, by means of simulations, the performance of the ETSI DCC Adaptive Approach and related algorithms, considering both steady state and transitory situations. Results show that a bad selection of parameters can make a DCC algorithm ineffective, that the ETSI DCC Adaptive algorithm performs well in steady state conditions, and that Dual-alfa performs as well in steady state conditions and outperforms the ETSI DCC Adaptive Approach in transitory scenarios.
PB IEEE
SN 2169-3536
YR 2020
FD 2020-03-12
LK https://hdl.handle.net/10016/31661
UL https://hdl.handle.net/10016/31661
LA eng
NO This work was supported in part by the Spanish Ministerio de Economía y Competitividad through the Texeo Project under grant TEC2016-80339-R.
DS e-Archivo
RD 27 jul. 2024