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<p>Sensors that supply data to computer systems are inherently unreliable. When sensors are distributed, reliability is further compromised. How can a system tell good sensor data from faulty? In this article, we describe a hybrid algorithm we developed that satisfies both the precision and accuracy requirements of distributed systems. We used established methods for distributed agreement based on data of limited accuracy. Our hybrid algorithm is suitable for use in both environments and manages to provide increased precision for distributed decision-making without adversely affecting system accuracy. The hybrid algorithm effectively solves the problem of making the correct decision in the presence of faulty data, enhancing both accuracy and precision. </p>

R. R. Brooks and S. S. Iyengar, "Robust Distributed Computing and Sensing Algorithm," in Computer, vol. 29, no. , pp. 53-60, 1996.
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