A Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks

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dc.creatorChen, Maoke
dc.creatorHe, Tao
dc.creatorLi, Xing
dc.date2003-11-21
dc.date.accessioned2026-07-07T05:35:07Z
dc.date.available2026-07-07T05:35:07Z
dc.descriptionA Mean-Field theory is presented and applied to a Cellular Automata model of distributed packet-switched networks. It is proved that, under a certain set of assumptions, the critical input traffic is inversely proportional to the free packet delay of the model. The applicability of Mean-Field theory in queue length estimation is also investigated. Results of theoretical derivations are compared with simulation samples to demonstrate the availability of the Mean-Field approach.
dc.description13 pages, 4 figures (with 8 sub-figures), uses subfigure.sty, revised from a submission to ICOIN'04
dc.identifierhttps://arxiv.org/abs/nlin/0311048
dc.identifierhttp://arxiv.org/abs/nlin/0311048
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/80607
dc.subjectAdaptation and Self-Organizing Systems
dc.titleA Mean-Field Theory of Cellular Automata Model for Distributed Packet Networks
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