2-local 7/6-competitive algorithm for multicolouring a sub-class of hexagonal graphs

An important optimization problem in the design of cellular networks is to assign sets of frequencies to transmitters to avoid unacceptable interference. A cellular network is often modelled as a subgraph of the infinite triangular lattice. The distributed frequency assignment problem can be abstrac...

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Published inInternational journal of computer mathematics Vol. 87; no. 9; pp. 2003 - 2013
Main Authors Sparl, Petra, Zerovnik, Janez
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.07.2010
Taylor & Francis Ltd
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ISSN0020-7160
1029-0265
DOI10.1080/00207160802562531

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Abstract An important optimization problem in the design of cellular networks is to assign sets of frequencies to transmitters to avoid unacceptable interference. A cellular network is often modelled as a subgraph of the infinite triangular lattice. The distributed frequency assignment problem can be abstracted as a multicolouring problem on a weighted hexagonal graph, where the weight vector represents the number of calls to be assigned at vertices. In this paper, we present a 2-local distributed algorithm for multicolouring triangle-free hexagonal graphs with no adjacent centres (i.e. vertices which has at least two neighbours in G, which are not on the same line) and with arbitrary demands. The algorithm is using only the local clique numbers at each vertex v of the given hexagonal graph, which can be computed from local information available at the vertex. We prove that the algorithm uses no more than ⌈ 7ω(G)/6⌉+5 colours for any triangle-free hexagonal graph with no adjacent centres G, without explicitly computing the global clique number ω(G). Hence the competitive ratio of the algorithm is 7/6.
AbstractList An important optimization problem in the design of cellular networks is to assign sets of frequencies to transmitters to avoid unacceptable interference. A cellular network is often modelled as a subgraph of the infinite triangular lattice. The distributed frequency assignment problem can be abstracted as a multicolouring problem on a weighted hexagonal graph, where the weight vector represents the number of calls to be assigned at vertices. In this paper, we present a 2-local distributed algorithm for multicolouring triangle-free hexagonal graphs with no adjacent centres (i.e. vertices which has at least two neighbours in G, which are not on the same line) and with arbitrary demands. The algorithm is using only the local clique numbers at each vertex v of the given hexagonal graph, which can be computed from local information available at the vertex. We prove that the algorithm uses no more than ...7...(G)/6... + 5 colours for any triangle-free hexagonal graph with no adjacent centres G, without explicitly computing the global clique number ...(G). Hence the competitive ratio of the algorithm is 7/6. (ProQuest: ... denotes formulae/symbols omitted.)
An important optimization problem in the design of cellular networks is to assign sets of frequencies to transmitters to avoid unacceptable interference. A cellular network is often modelled as a subgraph of the infinite triangular lattice. The distributed frequency assignment problem can be abstracted as a multicolouring problem on a weighted hexagonal graph, where the weight vector represents the number of calls to be assigned at vertices. In this paper, we present a 2-local distributed algorithm for multicolouring triangle-free hexagonal graphs with no adjacent centres (i.e. vertices which has at least two neighbours in G, which are not on the same line) and with arbitrary demands. The algorithm is using only the local clique numbers at each vertex v of the given hexagonal graph, which can be computed from local information available at the vertex. We prove that the algorithm uses no more than [lceil] 7w(G)/6[rceil]+5 colours for any triangle-free hexagonal graph with no adjacent centres G, without explicitly computing the global clique number w(G). Hence the competitive ratio of the algorithm is 7/6.
An important optimization problem in the design of cellular networks is to assign sets of frequencies to transmitters to avoid unacceptable interference. A cellular network is often modelled as a subgraph of the infinite triangular lattice. The distributed frequency assignment problem can be abstracted as a multicolouring problem on a weighted hexagonal graph, where the weight vector represents the number of calls to be assigned at vertices. In this paper, we present a 2-local distributed algorithm for multicolouring triangle-free hexagonal graphs with no adjacent centres (i.e. vertices which has at least two neighbours in G, which are not on the same line) and with arbitrary demands. The algorithm is using only the local clique numbers at each vertex v of the given hexagonal graph, which can be computed from local information available at the vertex. We prove that the algorithm uses no more than ⌈ 7ω(G)/6⌉+5 colours for any triangle-free hexagonal graph with no adjacent centres G, without explicitly computing the global clique number ω(G). Hence the competitive ratio of the algorithm is 7/6.
Author Šparl, Petra
Žerovnik, Janez
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CitedBy_id crossref_primary_10_1016_j_dam_2011_12_013
crossref_primary_10_1016_j_ipl_2012_02_008
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Cites_doi 10.1007/s004530010067
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SubjectTerms 2-local distributed algorithm
Algorithms
approximation algorithm
Cellular
cellular networks
Computation
Computer simulation
Demand
frequency planning
Graph coloring
graph colouring
Graphs
Mathematical models
Mathematical problems
Networks
Optimization algorithms
Transmitters
Title 2-local 7/6-competitive algorithm for multicolouring a sub-class of hexagonal graphs
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