Hostname: page-component-cb9f654ff-c75p9 Total loading time: 0 Render date: 2025-09-05T21:34:45.220Z Has data issue: false hasContentIssue false
  • English
  • Français

NETWORKS OF INTERACTING STOCHASTIC FLUID MODELS

Part of: Operations research and management science Markov processes

Published online by Cambridge University Press:  30 August 2018

NIKKI SONENBERG
NIKKI SONENBERG*
Affiliation:
School of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia email nikki.sonenberg@unimelb.edu.au
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Keywords

stochastic fluid modelsad hoc networksmatrix analytic methodsfinite buffers

MSC classification

Primary: 60J20: Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
Secondary: 90B15: Network models, stochastic

Information

Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 98 , Issue 3 , December 2018 , pp. 516 - 517
Copyright
© 2018 Australian Mathematical Publishing Association Inc. 

Footnotes

Thesis submitted to The University of Melbourne in October 2017; degree approved on 21 March 2018; supervisor Peter Taylor.

References

Latouche, G. and Taylor, P. G., ‘A stochastic fluid model for an ad hoc mobile network’, Queueing Syst. 63 (2009), 109–129.Google Scholar