Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On the use of LoRaWAN for the Internet of Intelligent Vehicles in Smart City scenarios
Show others and affiliations
2020 (English)In: Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2020Conference paper, Published paper (Refereed)
Abstract [en]

Automotive world is changing with the introduction of Intelligent Vehicles. Today, an increasing number of vehicles may send data to the Internet, helping car manufacturer to implement the Industry 4.0 paradigm. The collected data during the lifetime of the vehicles can be used to improve both product and production facilities. Moreover, the availability of additional data coming from onboard sensors could be used to obtain information about the environment surrounding the vehicle. The Smart City scenario includes an extraordinary number of new sensors (in urban area) and vehicles can be thought as additional mobile sensors. This paper describes the prototype of a Vehicle-to-Cloud interface with OBD-II (On Board Diagnostic) communication, 3G/4G connectivity, and LoRaWAN [used as backup channel]. LoRaWAN infrastructures are largely diffused in Smart Cities and they can provide a suitable alternative to cover some areas when 3G/4G fails. Last, considering the Smart City scenarios, this paper discusses the application constrains and design directions to achieve a correct integration between LoRaWAN infrastructure and the Internet of Intelligent Vehicles. © 2020 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020.
Keywords [en]
Edge Computing, Internet of Intelligent Vehicles, Low Power WAN, OBD-II, Wireless sensor networks, Automobile manufacture, Intelligent vehicle highway systems, Smart city, Vehicles, Additional datum, Automotive world, Backup channels, Car manufacturers, Number of vehicles, On board diagnostics, On-board sensors, Production facility, 3G mobile communication systems
Identifiers
URN: urn:nbn:se:miun:diva-41516DOI: 10.1109/SAS48726.2020.9220069Scopus ID: 2-s2.0-85095579905ISBN: 9781728148427 (print)OAI: oai:DiVA.org:miun-41516DiVA, id: diva2:1536276
Conference
2020 IEEE Sensors Applications Symposium, SAS 2020
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2021-04-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Sisinni, Emiliano

Search in DiVA

By author/editor
Sisinni, Emiliano

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf