Search results for "Channel assignment"

showing 4 items of 4 documents

A fast heuristic for solving the D1EC coloring problem

2010

In this paper we propose an efficient heuristic for solving the Distance-1 Edge Coloring problem (D1EC) for the on-the-fly assignment of orthogonal wireless channels in wireless as soon as a topology change occurs. The coloring algorithm exploits the simulated annealing paradigm, i.e., a generalization of Monte Carlo methods for solving combinatorial problems. We show that the simulated annealing-based coloring converges fast to a sub optimal coloring scheme even for the case of dynamic channel allocation. However, a stateful implementation of the D1EC scheme is needed in order to speed-up the network coloring upon topology changes. In fact, a stateful D1EC reduces the algorithm’s convergen…

Mathematical optimization:QA Mathematics::QA75 Electronic computers. Computer science [Q Science]TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESChannel allocation schemesHeuristic (computer science)Computer scienceSettore ING-INF/03 - Telecomunicazioni:T Technology (General) [T Technology]Topology (electrical circuits)Greedy coloringEdge coloringTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESStateful firewall:Q Science (General) [Q Science]TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYConvergence (routing)Simulated annealing:TK Electrical engineering. Electronics Nuclear engineering [T Technology]Channel assignment Edge coloring Simulated annealing.MathematicsofComputing_DISCRETEMATHEMATICS
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A heuristic for fast convergence in interference-free channel assignment using D1EC coloring

2010

This work proposes an efficient method for solving the Distance-1 Edge Coloring problem (D1EC) for the assignment of orthogonal channels in wireless networks with changing topology. The coloring algorithm is performed by means of the simulated annealing method, a generalization of Monte Carlo methods for solving combinatorial problems. We show that the simulated annealing-based coloring converges fast to a suboptimal coloring scheme. Furthermore, a stateful implementation of the D1EC scheme is proposed, in which network coloring is executed upon topology changes. The stateful D1EC is also based on simulated annealing and reduces the algorithm’s convergence time by one order of magnitude in …

Mathematical optimizationSettore ING-INF/03 - TelecomunicazioniComputer scienceHeuristic (computer science)Wireless networkTopology (electrical circuits)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGreedy coloringEdge coloringStateful firewallSimulated annealingConvergence (routing)Channel assignment Edge coloring Simulated annealing.Algorithm
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Linear and cyclic radio k-labelings of trees

2007

International audience; Motivated by problems in radio channel assignments, we consider radio k-labelings of graphs. For a connected graph G and an integer k ≥ 1, a linear radio k-labeling of G is an assignment f of nonnegative integers to the vertices of G such that |f(x)−f(y)| ≥ k+1−dG(x,y), for any two distinct vertices x and y, where dG(x,y) is the distance between x and y in G. A cyclic k-labeling of G is defined analogously by using the cyclic metric on the labels. In both cases, we are interested in minimizing the span of the labeling. The linear (cyclic, respectively) radio k-labeling number of G is the minimum span of a linear (cyclic, respectively) radio k-labeling of G. In this p…

Applied Mathematics010102 general mathematicsGraph theory[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Astrophysics::Cosmology and Extragalactic Astrophysics0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Span (engineering)01 natural sciencesUpper and lower boundsCombinatoricsGraph theory[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]IntegerRadio channel assignment010201 computation theory & mathematicsCyclic and linear radio k-labelingMetric (mathematics)Path (graph theory)Discrete Mathematics and CombinatoricsOrder (group theory)0101 mathematicsMSC 05C15 05C78ConnectivityMathematics
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Radio k-Labelings for Cartesian Products of Graphs

2005

International audience; Frequency planning consists in allocating frequencies to the transmitters of a cellular network so as to ensure that no pair of transmitters interfere. We study the problem of reducing interference by modeling this by a radio k-labeling problem on graphs: For a graph G and an integer k ≥ 1, a radio k-labeling of G is an assignment f of non negative integers to the vertices of G such that |f(x)−f(y)| ≥ k+1−dG(x,y), for any two vertices x and y, where dG(x,y) is the distance between x and y in G. The radio k-chromatic number is the minimum of max{f(x)−f(y):x,y ∈ V(G)} over all radio k-labelings f of G. In this paper we present the radio k-labeling for the Cartesian pro…

Square tilingGraph labelingradio k-labelingradio channel assignmentAntipodal point0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Span (engineering)01 natural sciencesUpper and lower boundsradio numberCombinatoricssymbols.namesakeIntegerCartesian productDiscrete Mathematics and CombinatoricsChromatic scale0101 mathematicsantipodal numberMathematicsDiscrete mathematicsApplied Mathematics010102 general mathematicsGraph theory[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Cartesian productGraph theory[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]010201 computation theory & mathematicsCellular networksymbolsHypercubeMSC 05C15 05C78Graph product
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