Further results on fault-tolerant distributed classification using error correcting codes

Tsang Yi Wang, Yunghsiang S. Han, Pramod K. Varshney

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we consider the distributed classification problem in wireless sensor networks. The DCFECC-SD approach employing the binary code matrix has recently been proposed to cope with the errors caused by both sensor faults and the effect of fading channels. The DCFECC-SD approach extends the DCFECC approach by using soft decision decoding to combat channel fading. However, the performance of the system employing the binary code matrix could be degraded if the distance between different hypotheses can not be kept large. This situation could happen when the number of sensor is small or the number of hypotheses is large. In this paper, we design the DCFECC-SD approach employing the D-ary code matrix, where D > 2. Simulation results show that the performance of the DCFECC-SD approach employing the D-ary code matrix is better than that of the DCFECC-SD approach employing the binary code matrix. Performance evaluation of DCFECC-SD using different number of bits of local decision information is also provided when the total channel energy output from each sensor node is fixed.

Original languageEnglish (US)
Pages (from-to)49-58
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5434
DOIs
StatePublished - Aug 18 2004
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004 - Orlando, FL, United States
Duration: Apr 14 2004Apr 15 2004

Keywords

  • Coding
  • Decision fusion
  • Distributed classification
  • Fading channel
  • Multisensor fusion
  • Soft-decision decoding
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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