Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm : Trends, Advances, and Future Prospects

著者名：Sniatala, Pawel/Amini, M. Hadi/Boroojeni, Kianoosh G.

Springer（2020/02/05発売）

• 言語：ENG
• ISBN：9783030331313
• eISBN：9783030331320

Description

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.

Table of Contents

Part I Introduction.- Introduction to Sensor Networks.- Introduction to Algorithms for Wireless Sensor Networks.- Fault Tolerant Distributed Sensor Networks.- Part II Advances of Sensor Fusion Algorithm.- Theoretical Analysis of Brooks-Iyengar Algorithm: Accuracy and Precision Bound.- The Profound Impact of the Brooks-Iyengar Algorithm.- Part III Trends of Brooks-Iyengar Algorithm.- Robust Fault Tolerant Rail Door State Monitoring Systems.- Part IV Applications of Brooks-Iyengar Algorithm for The Next 10 Years.- 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-Iyengars Robust Distributed Real-time Sensing Algorithm: Past, Present and Future.- Index.