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An Event-Based Messaging Architecture for Vehicular Internet of Things (IoT) Platforms
Mälardalen University.
Uppsala University, Uppsala, Sweden.
Scania AB, Södertälje, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-4157-3537
2017 (English)In: Communications in Computer and Information Science, vol. 778, Springer Verlag , 2017, p. 37-46Conference paper, Published paper (Refereed)
Abstract [en]

Internet of Things (IoT) has revolutionized transportation systems by connecting vehicles consequently enabling their tracking, as well as monitoring of driver activities. Such an IoT platform requires a significant amount of data to be send from the on-board vehicle to the off-board servers, contributing to high network usage. The data can be send at regular intervals or in an event-based manner whenever relevant events occur. In interval-based approach, the data is send even if it is not relevant for reporting leading to a wastage of network resources, e.g., when the data does not change considerably compared to the previously sent value. In this paper, we investigate the possibility of using an event-based architecture to send data from the on-board system to the off-board system. The results show that our event-based architecture improves the accuracy of data available at the off-board system, by a careful selection of events. Moreover, we found that our event based architecture significantly decreases the frequency of sending messages, particularly during highway driving, leading to reduced average data transfer rates. Our results enable a customer to perform trade-offs between accuracy and data transfer rates. 

Place, publisher, year, edition, pages
Springer Verlag , 2017. p. 37-46
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-36678DOI: 10.1007/978-3-319-67597-8_4ISI: 000578460600004Scopus ID: 2-s2.0-85029783908ISBN: 9783319675961 (print)OAI: oai:DiVA.org:mdh-36678DiVA, id: diva2:1147554
Conference
9th International Conference on Data-Driven Innovation, ICT Innovations 2017; Skopje; Macedonia; 18 September 2017 through 23 September 2017
Available from: 2017-10-06 Created: 2017-10-06 Last updated: 2020-11-13Bibliographically approved

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Dobrin, Radu

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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