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
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.
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: 2018-01-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Gidlund, Mikael

Search in DiVA

By author/editor
Gidlund, Mikael
By organisation
Department of Information and Communication systems
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 859 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