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Radio labelings of distance graphs

Authors: Roman Cada; Jan Ekstein; Premysl Holub; Olivier Togni;

Radio labelings of distance graphs

Abstract

A radio $k$-labeling of a connected graph $G$ is an assignment $c$ of non negative integers to the vertices of $G$ such that $$|c(x) - c(y)| \geq k+1 - d(x,y),$$ for any two vertices $x$ and $y$, $x\ne y$, where $d(x,y)$ is the distance between $x$ and $y$ in $G$. In this paper, we study radio labelings of distance graphs, i.e., graphs with the set $\Z$ of integers as vertex set and in which two distinct vertices $i, j \in \Z$ are adjacent if and only if $|i - j| \in D$.

14 pages

Country
France
Keywords

Distance in graphs, 05C12, 05C78, graph labeling, [ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM], radio \(k\)-labeling number, Channel models (including quantum) in information and communication theory, distance graph, Graph labelling (graceful graphs, bandwidth, etc.), [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], radio k-labeling number, FOS: Mathematics, Mathematics - Combinatorics, distance graph., Combinatorics (math.CO), MSC 05C12, 05C78

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Average
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