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Measuring Mobile Network Multi-Access for Time-Critical C-ITS Applications
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0001-7866-143x
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-8102-5773
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-1445-2169
2018 (English)In: TMA 2018 - Proceedings of the 2nd Network Traffic Measurement and Analysis Conference, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Cooperative Intelligent Transport Systems (C-ITS) make road traffic safer and more efficient, but require the mobile networks to handle time-critical applications. While some applications may need new dedicated communications technologies such as IEEE 802.11p or 5G, other applications can use current cellular networks. This study evaluates the performance that connected vehicles can expect from existing networks, and estimates the potential gain of multi-access by simultaneously transmitting over several operators. We upload time-critical warning messages from buses in Sweden, and characterise transaction times and network availability. We conduct the experiments with different protocols: UDP, TCP, and HTTPS. Our results show that when using UDP, the median transaction time for sending a typical warning message is 135 ms. We also show that multi-access can bring this value down to 73 ms. For time-critical applications requiring transaction times under 200 ms, multi-access can increase availability of the network from to 57.4% to 92.0%.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Intelligent systems, Intelligent vehicle highway systems, Mobile telecommunication systems, Traffic control, Wireless networks, Cellular network, Communications technology, Connected vehicles, Different protocols, Intelligent transport systems, ITS applications, Network availability, Time-critical applications, 5G mobile communication systems
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-36597DOI: 10.23919/TMA.2018.8506551Scopus ID: 2-s2.0-85057249133ISBN: 9783903176096 (print)OAI: oai:DiVA.org:ri-36597DiVA, id: diva2:1271382
Conference
2nd Network Traffic Measurement and Analysis Conference, TMA 2018, 26 June 2018 through 29 June 2018
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2018-12-17Bibliographically approved

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Ben Abdesslem, FehmiAbrahamsson, HenrikAhlgren, Bengt

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CiteExportLink to record
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