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In condition-based maintenance, real-time observations are crucial foron-line health assessment. When the monitoring system is a wireless sensornetwork, data loss becomes highly probable and this affects the quality of theremaining useful life prediction. In this paper, we present a fully distributedalgorithm that ensures fault tolerance and recovers data loss in wirelesssensor networks. We first theoretically analyze the algorithm and givecorrectness proofs, then provide simulation results and show that the algorithmis (i) able to ensure data recovery with a low failure rate and (ii) preservesthe overall energy for dense networks.

Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets