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Proceedings Paper

Distributed fault-tolerant classification fusion using error correcting codes
Author(s): Tsang-Yi Wang; Pramod Kumar Varshney; Yunghsiang Sam Han
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Paper Abstract

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.

Paper Details

Date Published: 1 April 2003
PDF: 11 pages
Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); doi: 10.1117/12.486783
Show Author Affiliations
Tsang-Yi Wang, Syracuse Univ. (United States)
Pramod Kumar Varshney, Syracuse Univ. (United States)
Yunghsiang Sam Han, National Chi Nan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 5099:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003
Belur V. Dasarathy, Editor(s)

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