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https://doi.org/10.1109/icpp.2...
Article . 2006 . Peer-reviewed
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Generalized Edge Coloring for Channel Assignment in Wireless Networks

Authors: Chun-Chen Hsu; Pangfeng Liu; Da-Wei Wang 0004; Jan-Jan Wu;

Generalized Edge Coloring for Channel Assignment in Wireless Networks

Abstract

This paper introduces a new graph theory problem called generalized edge coloring (g.e.c.). A generalized edge coloring is similar to traditional edge coloring, with the difference that a vertex can be adjacent to up to k edges that share the same color. The concept of generalized edge coloring can be used to formulate the channel assignment problem in multi-channel multi-interface wireless networks. We provide theoretical analysis for this problem. Our theoretical findings can be useful for system developers of wireless networks. We show that when k = 3, there are graphs that do not have generalized edge coloring that could achieve the minimum number of colors for every vertex. On the contrary, when k = 2 we show that if we are given one extra color, we can find a generalized edge coloring that uses the minimum number of colors for each vertex. In addition, we show that for certain classes of graphs we are able to find a generalized edge coloring that uses the minimum number of colors for every vertex without the extra color. These special classes of graphs include bipartite graph, graphs with a power of 2 maximum degree, or graphs with maximum degree no more than 4.

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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!
2
Average
Average
Average