The 'Two-Hop Principle': Stability of MAS in Communications Networks

Debenham, JK; Prodan, A

The 'Two-Hop Principle': Stability of MAS in Communications Networks

Debenham, JK Prodan, A

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Lecture Notes in Computer Science, 2013, 8062 pp. 281 - 292
Issue Date:: 2013-01

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Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.author	Prodan, A	en_US
dc.date.issued	2013-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science, 2013, 8062 pp. 281 - 292	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28320
dc.description.abstract	A joint university / industry collaboration is investigating the deployment of MAS technology to manage wireless communications networks. These systems are very large and are situated in a chaotic environment which suggests the use of distributed intelligent control that aims to continually improve, whilst not expecting to optimise, network performance. A key problem is ensuring the stability of these large, distributed control systems. A sequence of management systems have been developed over four years from which we have abstracted our `two-hop principle. We conjecture that the principle has wider application to multiagent network management systems. The generic principle is described and experiments are reported to illustrate the stability observed.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Lecture Notes in Computer Science	en_US
dc.relation.isbasedon	10.1007/978-3-642-40090-2_25	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	The 'Two-Hop Principle': Stability of MAS in Communications Networks	en_US
dc.type	Journal Article
utslib.citation.volume	8062	en_US
utslib.for	08 Information and Computing Sciences	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	false	en_US
pubs.volume	8062	en_US

Abstract:

A joint university / industry collaboration is investigating the deployment of MAS technology to manage wireless communications networks. These systems are very large and are situated in a chaotic environment which suggests the use of distributed intelligent control that aims to continually improve, whilst not expecting to optimise, network performance. A key problem is ensuring the stability of these large, distributed control systems. A sequence of management systems have been developed over four years from which we have abstracted our `two-hop principle. We conjecture that the principle has wider application to multiagent network management systems. The generic principle is described and experiments are reported to illustrate the stability observed.

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http://hdl.handle.net/10453/28320