uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Distortion outage minimization in distributed estimation with estimation secrecy outage constraints
Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia.
Univ Paderborn, Dept Elect Engn, D-33098 Paderborn, Germany.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2017 (English)In: IEEE Transactions on Signal and Information Processing over Networks, E-ISSN 2373-776X, Vol. 3, no 1, 12-28 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate a class of distortion outage minimization problems for a wireless sensor network in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are overheard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error estimates of the physical quantity observed. We address the problem of transmit power allocation to minimize the distortion outage at the FC, subject to an expected total transmit power constraint across the sensor(s) and a secrecy outage constraint at the eavesdropper. Applying a rigorous probabilistic power allocation technique, we derive power policies for the full channel state information (CSI) case. Suboptimal power control policies are studied for the partial CSI case in order to reduce the high computational cost associated with large numbers of sensors or receive antennas. Numerical results show that significantly improved performance can be achieved by adding multiple receive antennas at the FC. In the case of multiple transmit antennas, the distortion outage at the FC can be dramatically reduced and in some cases completely eliminated, by transmitting the observations on the null space of the eavesdropper's channel or deploying an artificial noise technique, in the full CSI and partial CSI cases, respectively.

Place, publisher, year, edition, pages
2017. Vol. 3, no 1, 12-28 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-306958DOI: 10.1109/TSIPN.2016.2612122ISI: 000395668800002OAI: oai:DiVA.org:uu-306958DiVA: diva2:1044908
Available from: 2016-11-07 Created: 2016-11-07 Last updated: 2017-04-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Dey, Subhrakanti
By organisation
Signals and Systems Group
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 460 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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