scholarly journals A Note on Packing Chromatic Number of the Square Lattice

10.37236/466 ◽  
2010 ◽  
Vol 17 (1) ◽  
Author(s):  
Roman Soukal ◽  
Přemysl Holub
Keyword(s):  
Chromatic Number ◽  
Upper Bound ◽  
Assignment Problem ◽  
Pairwise Distance ◽  
Frequency Assignment ◽  
Square Lattice ◽  
Frequency Assignment Problem ◽  
Vertex Set ◽  
Packing Chromatic Number

The concept of a packing colouring is related to a frequency assignment problem. The packing chromatic number $\chi_p(G)$ of a graph $G$ is the smallest integer $k$ such that the vertex set $V (G)$ can be partitioned into disjoint classes $X_1, \dots, X_k$, where vertices in $X_i$ have pairwise distance greater than $i$. In this note we improve the upper bound on the packing chromatic number of the square lattice.

scholarly journals The Packing Chromatic Number of Different Jump Sizes of Circulant Graphs

2021 ◽  
Vol 33 (5) ◽  
pp. 66-73
Author(s):  
B. CHALUVARAJU ◽  
◽  
M. KUMARA ◽  
Keyword(s):  
Chromatic Number ◽  
Pairwise Distance ◽  
Circulant Graphs ◽  
Vertex Set ◽  
Packing Chromatic Number ◽  
Jump Sizes

The packing chromatic number χ_{p}(G) of a graph G = (V,E) is the smallest integer k such that the vertex set V(G) can be partitioned into disjoint classes V1 ,V2 ,...,Vk , where vertices in Vi have pairwise distance greater than i. In this paper, we compute the packing chromatic number of circulant graphs with different jump sizes._{}

Frequency assignment problem in satellite communications using differential evolution

2010 ◽  
Vol 37 (12) ◽  
pp. 2152-2163 ◽  
Author(s):  
Ayed A. Salman ◽  
Imtiaz Ahmad ◽  
Mahamed G.H. Omran ◽  
Mohammad Gh. Mohammad
Keyword(s):  
Differential Evolution ◽  
Assignment Problem ◽  
Satellite Communications ◽  
Frequency Assignment ◽  
Frequency Assignment Problem

scholarly journals Efficient Algorithm For L(3,2,1)-Labeling of Cartesian Product Between Some Graphs

10.29007/x3qf ◽  
2019 ◽  
Author(s):  
Sumonta Ghosh ◽  
Prakhar Pogde ◽  
Narayan C. Debnath ◽  
Anita Pal
Keyword(s):  
Communication Network ◽  
Assignment Problem ◽  
Efficient Algorithm ◽  
Time Complexity ◽  
Cartesian Product ◽  
Frequency Assignment ◽  
Frequency Assignment Problem ◽  
The Difference

L(h,k) Labeling in graph came into existence as a solution to frequency assignment problem. To reduce interference a frequency in the form of non negative integers is assigned to each radio or TV transmitters located at various places. After L(h,k) labeling, L(h,k, j) labeling is introduced to reduce noise in the communication network. We investigated the graph obtained by Cartesian Product betweenCompleteBipartiteGraphwithPathandCycle,i. e.,Km,n×Pr andKm,n×Cr byapplying L(3,2,1)Labeling. The L(3,2,1) Labeling of a graph G is the difference between the highest and the lowest labels used in L(3,2,1) and is denoted by λ3,2,1(G) In this paper we have designed three suitable algorithms to label the graphs Km,n × Pr and Km,n × Cr . We have also analyzed the time complexity of each algorithm with illustration.

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