🤖 AI Summary
This work addresses the wavelength assignment problem induced by the broadcast nature of filterless optical networks, modeling it as a proper coloring problem on a directed conflict graph induced by a set of requests over a bidirectional tree, with the objective of minimizing the number of wavelengths used. By leveraging graph-theoretic modeling and directed graph coloring analysis, the study presents the first polynomial-time 2-approximation algorithm for this problem. It further establishes that the problem is fixed-parameter tractable when parameterized by a fixed number of wavelengths \(k\). Additionally, the paper introduces the first polynomial-time algorithms for computing the independence number and clique number of the underlying conflict graph. The proposed approach significantly reduces wavelength usage while efficiently computing these critical graph parameters.
📝 Abstract
In this paper, we investigate the impact of the broadcast effect arising in filterless optical networks on the computational complexity of the wavelength assignment problem. We model conflicts using an appropriate interference digraph, whose proper colourings correspond to feasible wavelength assignments. Minimizing the number of required wavelengths therefore amounts to determining the chromatic number of this interference digraph. Within this framework, we first present a polynomial-time 2-approximation algorithm for minimizing the number of wavelengths. We then show that the problem is fixed-parameter tractable when parameterized by the number $k$ of available wavelengths. We also derive polynomial-time algorithms for computing the independence and clique numbers of this interference digraph.