Application of Genetic Algorithm on Quality Graded Networks for Intelligent Routing

Computer Science – Networking and Internet Architecture

Scientific paper

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6 Pages, 6 Figures, 3 Tables, 2011 World Congress on Information and Communication Technologies

Scientific paper

10.1109/WICT.2011.6141306

In the past decade, significant research has been carried out for realizing intelligent network routing using advertisement, position and near-optimum node selection schemes. In this paper, a grade-based two-level node selection method along with genetic algorithm (GA) is proposed for realizing an efficient routing scheme. This method assumes that the nodes are intelligent and that there exists a knowledge base about the environment in their local memory. There are two levels for approaching the effective route selection process through grading. At the first level, grade-based selection is applied and at the second level, the optimum path is explored using GA. The simulation has been carried out on different topological structures, and a significant reduction in time is achieved for determining the optimal path through this method compared to the non-graded networks.

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