Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Using a Large Data Set to Improve Industrial Wireless Communications Latency, Reliability, and Security
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering.ORCID iD: 0000-0003-4158-9424
ABB Corp Res Ctr, Wireless Commun, Vasteras, Sweden..
ABB Corp Res Ctr, Vasteras, Sweden..
Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Commun & Informat Syst, Chengdu, Sichuan, Peoples R China..
Show others and affiliations
2019 (English)In: IEEE Industrial Electronics Magazine, ISSN 1932-4529, E-ISSN 1941-0115, Vol. 13, no 1, p. 6-12Article in journal (Refereed) Published
Abstract [en]

Trealize the Industry 4.0 vision and enable mobile connectivity and flexible deployment in harsh industrial environments, wireless communication is essential. But before wireless communications technology can be widely deployed for critical control applications, first it must be assessed, and that requires a comprehensive characterization of the wireless channel. This can be done by analyzing large amounts of wireless data collected from different industrial environments. In this article, we discuss the possibilities offered by a recently published industrial wireless data set. This data set is more exhaustive than measurements previously reported. We show two cases of how those data have been applied to improve latency performance and to investigate the feasibility of physical-layer security techniques for wireless communication in industrial environments.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. Vol. 13, no 1, p. 6-12
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-249890DOI: 10.1109/MIE.2019.2893037ISI: 000462406900003Scopus ID: 2-s2.0-85064351390OAI: oai:DiVA.org:kth-249890DiVA, id: diva2:1307262
Note

QC 20190426

Available from: 2019-04-26 Created: 2019-04-26 Last updated: 2019-05-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttps://ieeexplore.ieee.org/document/8673835

Authority records BETA

Jiang, Xiaolin

Search in DiVA

By author/editor
Jiang, XiaolinFischione, Carlos
By organisation
Network and Systems engineering
In the same journal
IEEE Industrial Electronics Magazine
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 81 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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