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Fault Detection Variants of the CloudBus Protocol for IoT Distributed Embedded SystemsBARKALOV, A. , TITARENKO, L. , ANDRZEJEWSKI, G. , KRZYWICKI, K. , KOLOPIENCZYK, M.
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decentralized control, industrial communication, fault diagnosis, internet of things, machine-to-machine communications
systems(10), networks(7), distributed(6), communications(6), interference(5), embedded(5), design(5), isorc(4), industrial(4)
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About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 3 - 10
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02001
Web of Science Accession Number: 000405378100001
SCOPUS ID: 85020080047
Distributed embedded systems have become larger, more complex and complicated. More often, such systems operate accordingly to the IoT or Industry 4.0 concept. However, large number of end modules operating in the system leads to a significant load and consequently, to an overload of the communication interfaces. The CloudBus protocol is one of the methods which is used for data exchange and concurrent process synchronization in the distributed systems. It allows the significant savings in the amount of transmitted data between end modules, especially when compared with the other protocols used in the industry. Nevertheless, basic version of the protocol does not protect against the system failure in the event of failure of one of the nodes. This paper proposes four novel variants of the CloudBus protocol, which allow the fault detection. The comparison and performance analysis was executed for all proposed CloudBus variants. The verification and behavior analysis of the distributed systems were performed on SoC hardware research platform. Furthermore, a simple test application was proposed.
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 CloudBus protocol hardware multi-converter gateway for distributed embedded systems, Krzywicki, Kazimierz, Barkalov, Alexander, Andrzejewski, Grzegorz, Titarenko, Larysa, Kolopienczyk, Malgorzata, 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems, ISBN 978-83-63578-12-1, 2017.
Digital Object Identifier: 10.23919/MIXDES.2017.8005273 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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