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Distributed classification fusion using error-correcting codes (DCFECC) has recently been proposed for wireless sensor networks operating in a harsh environment. It has been shown to have a considerably better capability against unexpected sensor faults than the optimal likelihood fusion. In this paper, we analyze the performance of a DCFECC code with(More)
Separation vectors have long been used to specify unequal error/erasure capability (UEP) of channel codes. In this paper, we tried to extend its definition to cover linear network codes and study its relations with the UEP capability of static linear network codes. Our approach begins with a division of the network coding process into two distinct steps: a(More)
Distributed (M -ary) detection and fault-tolerance have been considered as two fundamental functions in the context of large-scale sensor networks. Distributed multiclass classification fusion using error correcting codes (DCFECC) has been proposed to provide good fault-tolerance capability in wireless sensor networks. Minimum Hamming distance fusion is an(More)
Unequal error/erasure protection (UEP) is often employed in multilayer video streaming to ensure successful reception of the important reference layers. In this paper, we investigate possible ways to provide such protection to the multicasting sessions of scalable video codes (SVC) using randomized linear network codes (RLNCs). We surmised that it takes(More)
In this work, we analyze the performance of a wireless sensor network with distributed classification codes, where independence across sensors, including local observations, local classifications and sensor-fusion link noises, is assumed. In terms of large deviations technique, we establish the necessary and sufficient condition under which the minimum(More)
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