page_title: Brooks–Iyengar algorithm
section_title: Awards and recognition
hierarchical_section_title: Brooks–Iyengar algorithm / Awards and recognition
caption_attribution_description: English: Dr Brooks and Dr SS Iyengar
context_page_description: The Brooks–Iyengar algorithm or Brooks–Iyengar hybrid algorithm is a distributed algorithm that improves both the precision and accuracy of the interval measurements taken by a distributed sensor network, even in the presence of faulty sensors. The sensor network does this by exchanging the measured value and accuracy value at every node with every other node, and computes the accuracy range and a measured value for the whole network from all of the values collected. Even if some of the data from some of the sensors is faulty, the sensor network will not malfunction. The algorithm is fault-tolerant and distributed. It could also be used as a sensor fusion method. The precision and accuracy bound of this algorithm have been proved in 2016.
context_section_description: The Inventors of Brooks Iyengar Algorithm Dr Brooks and Dr SS Iyengar received the prestigious 25 year Test of Time Award for his Pioneering Research and high impact of the Brooks-Iyengar Algorithm. The high impact research and how this work has influenced numerous US government programs and commercial products.
  Dr SS Iyengar receiving award from Prof Steve Yau, IEEE
  Dr SS Iyengar with his student Dr Brooks
caption: Dr Brooks and Dr SS Iengar at Ceremony
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