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

Tsang-Yi Wang; Yunghsiang Sam Han; Pramod Kumar Varshney

doi:10.1117/12.541657

12 April 2004 Further results on fault-tolerant distributed classification using error-correcting codes

Tsang-Yi Wang, Yunghsiang Sam Han, Pramod Kumar Varshney

Proceedings Volume 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004; (2004) https://doi.org/10.1117/12.541657
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Tsang-Yi Wang, Yunghsiang Sam Han, and Pramod Kumar Varshney "Further results on fault-tolerant distributed classification using error-correcting codes", Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); https://doi.org/10.1117/12.541657

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