Please use this identifier to cite or link to this item:
https://hdl.handle.net/1822/67715
Title: | Performance analysis of two machine-to-machine architecture types in vehicular communications |
Author(s): | 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 |
Keywords: | Intelligent Transportation Systems Vehicular Adhoc Networks Machine-2-Machine Architecture On Board Unit |
Issue date: | 2019 |
Publisher: | IEEE |
Abstract(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. |
Type: | Conference paper |
URI: | https://hdl.handle.net/1822/67715 |
ISBN: | 9781728102702 |
DOI: | 10.1109/WoWMoM.2019.8793024 |
Publisher version: | https://ieeexplore.ieee.org/document/8793024 |
Peer-Reviewed: | yes |
Access: | Restricted access (UMinho) |
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Files in This Item:
File | Description | Size | Format | |
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paper-CameraReady-v1-IoT-SoS-2019.pdf Restricted access | 1,3 MB | Adobe PDF | View/Open |