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Characterization of Long Term Channel Variations in Industrial Wireless Sensor Networks
Uppsala University.
Uppsala University.
Uppsala University.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.ORCID iD: 0000-0003-0873-7827
2014 (English)In: IEEE International Conference on Communications (ICC'14), IEEE conference proceedings, 2014Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE conference proceedings, 2014.
Keywords [en]
WSN, BER, Radio channels, measurements
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-22173Local ID: STCOAI: oai:DiVA.org:miun-22173DiVA, id: diva2:724630
Conference
IEEE International Conference on Communications (ICC'14), Sydney, Australia, June 2014.
Projects
Robust Wireless Communication
Funder
Knowledge FoundationAvailable from: 2014-06-13 Created: 2014-06-13 Last updated: 2022-04-06Bibliographically approved

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Gidlund, Mikael

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CiteExportLink to record
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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
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  • asciidoc
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