Distributed fault-tolerant classification fusion using error correcting codes
Tsang-Yi Wang, Pramod K. Varshney, Yunghsiang Sam Han · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.