This paper presents an ant colony optimization (ACO) method as a method for channel assignment in a mobile ad hoc network (MANET), where achieving high spectral efficiency necessitates an efficient channel assignment. The suggested algorithm is intended for graph-coloring problems and it is specifically tweaked to the channel assignment problem in MANET with a clustered network topology. A multi-objective function is designed to make a tradeoff between maximizing spectral utilization and minimizing interference. We compare the convergence behavior and performance of ACO-based method with obtained results from a grouping genetic algorithm (GGA). © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Parsapoor, M., & Bilstrup, U. (2013). Ant colony optimization for channel assignment problem in a clustered mobile ad hoc network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7928 LNCS, pp. 314–322). https://doi.org/10.1007/978-3-642-38703-6_37
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