A Probabilistic Approach to Faults Prediction in Cellular Networks

Kogeda, P; Agbinya, JI; Omlin, C

A Probabilistic Approach to Faults Prediction in Cellular Networks

Kogeda, P Agbinya, JI Omlin, C

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Publisher:: IEEE Computer Society
Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006, pp. 130 - 135
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Kogeda, P	en_US
dc.contributor.author	Agbinya, JI	en_US
dc.contributor.author	Omlin, C	en_US
dc.contributor.editor	N/A	en_US
dc.date	2006-04-23	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06), 2006, pp. 130 - 135	en_US
dc.identifier.isbn	0-7695-2552-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2741
dc.description.abstract	This paper discusses modelling and prediction of faults in cellular networks. We derive probabilistic models of the cellular network systems in which the independence relations between the variables of interest are represented explicitly. We use a directed graph in which two nodes are connected by an edge if one is a direct cause of the other. We present the process of construction of a structure of a Bayesian network. We explored the complexity and performance of fault prediction using Bayesian network.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartof	Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06)	en_US
dc.relation.ispartof	International Conference on Mobile Communications and Learning Technologies	en_US
dc.relation.isbasedon	10.1109/ICNICONSMCL.2006.29	en_US
dc.rights	© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	A Probabilistic Approach to Faults Prediction in Cellular Networks	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Mauritius	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Mauritius	en_US
dc.location.activity	Sydney, Australia
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 Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2006-04-23	en_US

Abstract:

This paper discusses modelling and prediction of faults in cellular networks. We derive probabilistic models of the cellular network systems in which the independence relations between the variables of interest are represented explicitly. We use a directed graph in which two nodes are connected by an edge if one is a direct cause of the other. We present the process of construction of a structure of a Bayesian network. We explored the complexity and performance of fault prediction using Bayesian network.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2741