Fusion of decisions transmitted over fading channels in wireless sensor networks

Biao Chen, Ruixiang Jiang, Teerasit Kasetkasem, Pramod K. Varshney

Research output: Contribution to journalConference articlepeer-review

35 Scopus citations

Abstract

Information fusion by utilizing multiple distributed sensors is studied in this work. We derive the optimal likelihood based fusion statistic for a parallel decision fusion problem with fading channel assumption. This optimum fusion rule, however, requires perfect knowledge of the local decision performance indices as well as the fading channel. Several alternatives are presented that alleviate these requirements. At low SNR, the likelihood based fusion rule reduces to a form analogous to a maximum ratio combining statistic; while at high SNR, it leads to a two-stage approach using the well known Chair- Varshney fusion rule. A third alternative in the form of an equal gain combiner is also proposed that requires the least amount of information regarding the sensor/channel. Simulation shows that the two-stage approach, which considers the communication and decision fusion as two independent stages, suffers performance loss compared with the other two alternatives for practical SNR range.

Original languageEnglish (US)
Pages (from-to)1184-1188
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Dec 1 2002
EventThe Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States
Duration: Nov 3 2002Nov 6 2002

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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