FuseCPA (Brooks-Iyengar) Algorithm
The FuseCPA algorithm or Brooks–Iyengar algorithm or Brooks–Iyengar hybrid algorithm[1] is a distributed algorithm that improves the consensus, precision and accuracy of the interval measurements taken by a distributed sensor network, even in the presence of faulty sensors.[2] 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.[3] 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.[4]
It is shown analytically that the mean square error performance of the proposed class of algorithms improves upon the original BI algorithm. The theoretical derivations are verified through various numerical simulations of practical scenarios. ("Distributed Fault-Tolerant Sensor Fusion: Fundamental Limits and Efficient Algorithms" accepted to be published in IEEE Information Theory Workshop 2023)
References
- ↑ Richard R. Brooks; S. Sithrama Iyengar (June 1996). "Robust Distributed Computing and Sensing Algorithm". Computer. 29 (6): 53–60. doi:10.1109/2.507632. ISSN 0018-9162. Archived from the original on 2010-04-08. Retrieved 2010-03-22. Unknown parameter
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Mohammad Ilyas; Imad Mahgoub (July 28, 2004). Handbook of sensor networks: compact wireless and wired sensing systems (PDF). bit.csc.lsu.edu. CRC Press. pp. 25–4, 33–2 of 864. ISBN 978-0-8493-1968-6. Archived from the original (PDF) on June 27, 2010. Retrieved March 22, 2010. Unknown parameter
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- ↑ Iyengar, Sitharama S.; Ramani, Sanjeev Kaushik; Ao, Buke (March 2019). "Fusion of the Brooks–Iyengar Algorithm and Blockchain in Decentralization of the Data-Source". Journal of Sensor and Actuator Networks. 8 (1): 17. doi:10.3390/jsan8010017. ISSN 2224-2708.File:CC-BY-icon-80x15.png This article incorporates text from this source, which is available under the CC BY 4.0 license.
- ↑ Ao, Buke; Wang, Yongcai; Yu, Lu; Brooks, Richard R.; Iyengar, S. S. (2016-05-01). "On Precision Bound of Distributed Fault-Tolerant Sensor Fusion Algorithms". ACM Comput. Surv. 49 (1): 5:1–5:23. doi:10.1145/2898984. ISSN 0360-0300. Unknown parameter
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