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Intelligent routing in networks has opened up many challenges in modellingand methods, over the past decade. Many techniques do exist for routing on suchan environment where path determination was carried out by advertisement,position and near-optimum node selection schemes. In this paper, an efficientrouting scheme has been proposed using genetic algorithm for a grade-basedtwo-level node selection method. This method assumes that nodes have theknowledge of its environment and is capable of taking decision for routediscovery. The data learnt from the topology which is under consideration forrouting, is saved in its local memory. In this two-level node selection scheme,the route discovery operation takes place in multiple levels. At the firstlevel, the grade based selection is applied for considering the most optimalnodes which would be fit for sending data. At the second level, the optimalpath is discovered using Genetic Algorithm. The simulation result shows thatfaster convergence of path took place in the case of the proposed method withgood fitness value, as compared to non-graded network.

An intelligent routing approach using genetic algorithms for quality graded network