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University of Nevada, Las Vegas

Self-stabilizing network orientation algorithms in arbitrary rooted networks

Abstract

dc:description.abstract

Network orientation is the problem of assigning different labels to the edges at each processor, in a globally consistent manner. A self-stabilizing protocol guarantees that the system will arrive at a legitimate state in finite time, irrespective of the initial state of the system. Two deterministic distributed network orientation protocols on arbitrary rooted, asynchronous networks are proposed in this work. Both protocols set up a chordal sense of direction in the network. The protocols are self-stabilizing, meaning that starting from an arbitrary state, the protocols are guaranteed to reach a state in which every processor has a valid node label and every link has a valid edge label. The first protocol assumes an underlying depth-first token circulation protocol; it orients the network as the token is passed among the nodes and stabilizes in O(n) steps after the token circulation stabilizes, where n is the number of processors in the network. The second protocol is designed on an underlying spanning tree protocol and stabilizes in O(h) time, after the spanning tree is constructed, where h is the height of the spanning tree. Although the second protocol assumes the existence of a spanning tree of the rooted network, it orients all edges--both tree and non-tree edges--of the network.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Grantor dc:publisher
University of Nevada, Las Vegas
Year
1999

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gurumurthy, Shivashankar
Contributors dc:contributor
  • Ajoy Kumar Datta

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-2034

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Gurumurthy, Shivashankar. Self-stabilizing network orientation algorithms in arbitrary rooted networks. Thesis thesis, University of Nevada, Las Vegas, 1999. https://doi.org/10.25669/gqvq-qwvc