Evaluating the reliability of a novel deterioration-effect multi-state flow network

Yeh, W

Evaluating the reliability of a novel deterioration-effect multi-state flow network

Yeh, W

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Publisher:: Elsevier Science Inc
Publication Type:: Journal Article
Citation:: Information Sciences, 2013, 243 (NA), pp. 75 - 85
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Yeh, W	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	Information Sciences, 2013, 243 (NA), pp. 75 - 85	en_US
dc.identifier.issn	0020-0255	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31864
dc.description.abstract	Abstract In a traditional multi-state flow network (MFN), the flow values into and out of any arc are assumed to be equal. In practical application, however, the flow may undergo a loss due to deterioration. For example, electrical power will decrease if the transmission distance is too great. Hence, a novel MFN model called the deterioration-effect MFN (MFNde) is proposed to address this real world problem. A straightforward and simple algorithm based on a novel concept called the deterioration-effect d-minimal path (d-MPde) is presented to evaluate the reliability of an MFNde, which is defined as the probability that at least d units of data can be received by the sink node through the MFNde. The computational complexity of the proposed algorithm is also analyzed. Finally, an example is presented to illustrate how the reliability of an MFNde is calculated using the proposed algorithm.	en_US
dc.publisher	Elsevier Science Inc	en_US
dc.relation.ispartof	Information Sciences	en_US
dc.relation.isbasedon	10.1016/j.ins.2013.02.016	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Evaluating the reliability of a novel deterioration-effect multi-state flow network	en_US
dc.type	Journal Article
utslib.citation.volume	NA	en_US
utslib.citation.volume	243	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	NA	en_US
pubs.volume	243	en_US

Abstract:

Abstract In a traditional multi-state flow network (MFN), the flow values into and out of any arc are assumed to be equal. In practical application, however, the flow may undergo a loss due to deterioration. For example, electrical power will decrease if the transmission distance is too great. Hence, a novel MFN model called the deterioration-effect MFN (MFNde) is proposed to address this real world problem. A straightforward and simple algorithm based on a novel concept called the deterioration-effect d-minimal path (d-MPde) is presented to evaluate the reliability of an MFNde, which is defined as the probability that at least d units of data can be received by the sink node through the MFNde. The computational complexity of the proposed algorithm is also analyzed. Finally, an example is presented to illustrate how the reliability of an MFNde is calculated using the proposed algorithm.

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http://hdl.handle.net/10453/31864