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Faulty components in a network need to be localized and repaired to sustain the health of the network. This paper proposes a novel approach that carefully combines active and passive measurements to localize faults in wireless sensor networks. More specifically, the authors formulate a problem of optimal sequential testing guided by end-to-end data. This problem determines an optimal testing sequence of network components based on end-to-end data in sensor networks to minimize testing cost.
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