Sniatala P., Amini H., Boroojeni K.G. Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm: Trends, Advances, and Future Prospects

Sprinher, 2020. — 207 p. — ISBN: 978-3-030-33131-3.This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects. The book starts by discussing the Brooks-Iyengar algorithm, which has made significant impact since its initial publication in 1996. The authors show how the technique has been applied in many domains such as software reliability, distributed systems and OS development, etc. The book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors posit that the Brooks-Iyengar Algorithm will to continue to be used where fault-tolerant solutions are needed in redundancy system scenarios.
This book celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing.Introduction to Sensor Networks
Introduction to Algorithms for Wireless Sensor Networks
Fault Tolerant Distributed Sensor Networks
Theoretical Analysis of Brooks–Iyengar Algorithm: Accuracy and Precision Bound
The Profound Impact of the Brooks–Iyengar Algorithm
Robust Fault Tolerant Rail Door State Monitoring Systems
Decentralization of Data-source Using Blockchain-Based Brooks–Iyengar Fusion
A Novel Fault Tolerant Random Forest Model Using Brooks–Iyengar Fusion
Designing a Deep-Learning Neural Network Chip to Detect Hardware Errors Using Brooks–Iyengar Algorithm
Ubiquitous Brooks–Iyengar’s Robust Distributed Real-Time Sensing Algorithm: Past, Present, and Future
Correction to: Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm