Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm
Trends, Advances, and Future Prospects
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Beschreibung
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.
- Provides a comprehensive investigation of Brooks-Iyengar Algorithm and the recently developed methods based on this algorithm;
- Specifies the importance and position of theoretical methods in dealing with real-world problems in the context of distributed sensing;
- Presents basics and mathematical foundations needed to analyze Brooks-Iyengar Algorithm.
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.
Provides a comprehensive investigation of Brooks-Iyengar Algorithm and the recently developed methods based on this algorithm Specifies the importance and position of theoretical methods in dealing with real-world problems in the context of distributed sensing Presents basics and mathematical foundations needed to analyze Brooks-Iyengar Algorithm
Autor*in
Pawel Sniatala
Themen in »Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm«
Brooks-Iyengar Algorithm Distributed sensing Byzantine fault tolerance Fault tolerant algorithms Deep learning Blockchain Real-time sensing
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“The book presents emerging applications and influence of Brooks-Iyengar distributed sensing algorithm. It will help audience to better understand the theory of distributed sensor networks and its applications.” (Prof. Jacek Błażewicz, IEEE Fellow, Director, Institute of Computing Science & Institute of Bioorganic Chemistry, Poznan University of Technology, Poland)
“I highly recommend this book to scientists, researchers, engineers, and practitioners who are interested in distributed sensor networks. This book thoroughly introduces strong theoretical techniques for real-world applications in the context of distributed sensing.” (Prof. Poki Chen, Dean, College of Applied Sciences; Professor, Dept. of Electronic and Computer Engineering; National Taiwan University of Science and Technology)
“This book, Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm, provides a very thorough treatment of the famous Brooks-Iyengar algorithm for distributed sensor networks and related methods. Distributed sensor fusion techniques are very important for many real time critical applications in unstructured environment. This timely book introduces a novel algorithmic computational platform underlying the paradigm of the Brooks-Iyengar algorithmic structure to efficiently solve sensor fusion problems in unpredictable and Byzantine circumstances. Furthermore, performance bounds on the Brooks-Iyengar algorithm have been characterized elegantly by discrete mathematical theory, which provides a foundation for a large number of real time applications.” (Prof. Sartaj Sahni, Distinguished Professor, Computer and Information Sciences and Engineering, University of Florida, USA; IEEE Fellow, ACM Fellow, AAAS Fellow, Minnesota Supercomputer Institute Fellow)
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