Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67715

TítuloPerformance analysis of two machine-to-machine architecture types in vehicular communications
Autor(es)Araújo, Paulo Jorge Nicolau
Santos, Alexandre
Costa, António
Gonçalves, Fábio Raul Costa
Ribeiro, Bruno Daniel Mestre Viana
Hapanchak, Vadym Serhiyovych
Gama, Óscar Sílvio Marques Almeida
Dias, Bruno
Macedo, Joaquim
Nicolau, Maria João
Palavras-chaveIntelligent Transportation Systems
Vehicular Adhoc Networks
Machine-2-Machine Architecture
On Board Unit
Data2019
EditoraIEEE
Resumo(s)A Vehicular Adhoc Network (VANET) is a conceptualisation that can be applied to the communications domain of an Intelligent Transportation System (ITS), where vehicles use On Board Units (OBU) to communicate with other vehicles or the road side infrastructure. The heterogeneity of the interconnected devices, the large number of devices inside and outside the vehicles and different degrees of device density, makes interoperability a challenging problem, making way to many machine-2-machine (M2M) autonomous communications. This paper discusses two different M2M architectures that may be used in ITS context and presents test results obtained from implementations of these M2M architectures on real OBU hardware, in the context of ETSI compliant safety applications.The experimental results were taken using two different oneM2M Vehicular Architectures Types in order to analyse their suitability to be used in a platooning car-following use case. For the car-following use case, OBUs interface the vehicle's Controller Area Network (CAN) bus and use Dedicated Short Range Communications (DSRC) for M2M communications to convey dynamic data to enable controlling the vehicle's speed and longitudinal distance. The experiments and corresponding result analysis has shown that the oneM2M architectures are suitable to be used for such car-following application, which requires latencies below 100ms.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/67715
ISBN9781728102702
DOI10.1109/WoWMoM.2019.8793024
Versão da editorahttps://ieeexplore.ieee.org/document/8793024
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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