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
Demo: Towards battery-free radio tomographic imaging
KTH Royal Institute of Technology, Sweden.
Uppsala University, Sweden.
Uppsala University, Sweden.
KTH Royal Institute of Technology, Sweden.
Show others and affiliations
2018 (English)In: WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2018, p. 293-295Conference paper, Published paper (Refereed)
Abstract [en]

Radio Tomographic Imaging (RTI) enables novel radio frequency (RF) sensing applications such as intrusion detection systems by observing variations in radio links caused by human actions. RTI applications are, however, severely limited by the requirement to retrofit existing infrastructure with energy-expensive sensors. In this demonstration, we present our ongoing efforts to develop the first battery-free RTI system that operates on minuscule amounts of energy harvested from the ambient environment. Our system eliminates the energy-expensive components employed on state-of-the-art RTI systems achieving two orders of magnitude lower power consumption. Battery-free operation enables a sustainable deployment, as RTI sensors could be deployed for long periods of time with little maintenance effort. Our demonstration showcases an intrusion detection scenario enabled by our system.

Place, publisher, year, edition, pages
2018. p. 293-295
Keywords [en]
Backscatter, Battery-free, Radio-tomographic-imaging, Backscattering, Electric batteries, Mobile telecommunication systems, Radio links, Tomography, Wireless networks, Battery-free operations, Intrusion Detection Systems, Lower-power consumption, Maintenance efforts, Orders of magnitude, Sensing applications, Tomographic imaging, Intrusion detection
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34595DOI: 10.1145/3212480.3226107Scopus ID: 2-s2.0-85050907001ISBN: 9781450357319 (print)OAI: oai:DiVA.org:ri-34595DiVA, id: diva2:1238750
Conference
11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2018, 18 June 2018 through 20 June 2018
Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2018-08-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Voigt, Thiemo

Search in DiVA

By author/editor
Voigt, Thiemo
By organisation
SICS
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 8 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
v. 2.35.7