DocumentCode :
1570493
Title :
Reliability improvement achievable in CAN-based systems by means of the ReCANcentrate replicated star topology
Author :
Barranco, Manuel ; Proenza, Julián ; Almeida, Luís
Author_Institution :
Dept. Mat. i Inf., Univ. de les Illes Balears, Palma de Mallorca, Spain
fYear :
2010
Firstpage :
99
Lastpage :
108
Abstract :
Despite there is a growing interest in using star-based networks for distributed control systems, the reliability benefits of this topology have not been appropriately quantified. Thus, in previous work we modelled, by means of Stochastic Activity Networks (SANs), the system reliability that can be achieved with CAN and a simplex star we proposed for it called CANcentrate. These models quantitatively compared the system reliability of CAN and CANcentrate when permanent hardware faults occur. However, the strategy that underlies these models was not suitable, in terms of computation time, for ReCANcentrate, a replicated star we more recently proposed for CAN. This paper thoroughly describes a new model that overcomes this drawback and, then, demonstrates that ReCANcentrate can boost the system reliability. Although this paper addresses CAN-based networks, the results herein presented can be extrapolated to other field-bus technologies.
Keywords :
controller area networks; field buses; stochastic processes; telecommunication network topology; CAN-based system; ReCANcentrate replicated star topology; SAN; distributed control system; field-bus technology; stochastic activity network; system reliability; Communication system control; Control systems; Distributed control; Fault tolerance; Hardware; Network topology; Protocols; Reliability; Stochastic systems; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Factory Communication Systems (WFCS), 2010 8th IEEE International Workshop on
Conference_Location :
Nancy
Print_ISBN :
978-1-4244-5460-0
Electronic_ISBN :
978-1-4244-5462-4
Type :
conf
DOI :
10.1109/WFCS.2010.5548633
Filename :
5548633
Link To Document :
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