• Corpus ID: 14564473

Self-Organized Fault-Tolerant Feature Extraction in Distributed Wireless Sensor Networks ∗

@inproceedings{Krishnamachari2002SelfOrganizedFF,
  title={Self-Organized Fault-Tolerant Feature Extraction in Distributed Wireless Sensor Networks ∗},
  author={Bhaskar Krishnamachari},
  year={2002}
}
We propose a distributed solution for a canonical task in wireless sensor networks – the extraction of information about interesting environmental features. We explicitly take into account the possibility of sensor measurement faults and develop a distributed Bayesian algorithm for detecting and correcting such faults. Theoretical analysis and simulation results show that 85-95% of faults can be corrected using this algorithm even when as many as 10% of the nodes are faulty. 

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