Distributed fault-tolerant classification fusion using error correcting codes

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

Research output: Contribution to journalConference Articlepeer-review

3 Scopus citations


In this paper we propose a new approach for distributed multiclass classification using a hierarchical fusion architecture. Binary decisions from local sensors, possibly in the presence of faults, are fused locally. Locally fused results are forwarded to the global fusion center that determines the final classification result. Classification fusion in our approach is implemented via error correcting codes to incorporate fault-tolerance capability. This new approach not only provides an improved fault-tolerance capability but also reduces bandwidth requirements as well as computation time and memory requirements at the fusion center. Numerical examples are provided to illustrate the performance of this new approach.

Original languageEnglish (US)
Pages (from-to)47-57
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2003
EventMultisensor. Multisource Information Fusion: Architectures, Algorithms, and Applications 2003 - Orlando, FL, United States
Duration: Apr 23 2003Apr 25 2003


  • Decision fusion
  • Distributed classification
  • Error correcting codes
  • Fault-tolerance
  • Multisensor fusion

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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