Wireless Network Traffic Control Using Neural Networksin Wavelet Domain

For traffic prediction forecasting in WIMAX, generally the genetic algorithm were used ,but due to certain limitation of genetic algorithms, problems was created in the traffic prediction .So there is a need to proposed a new approach that is better than Genetic algorithm .this approach need to update the limitation of the Genetics algorithm. There is a need to enhance the prediction capability of AANs in the networks, As due to many limitation of Genetic algorithms there was problem in the traffic prediction , so GA a must be replaced by some other algorithms and lastly work should be done pn the combined data rather than divided it into sub part For better traffic prediction there is need to enhance the prediction capability of the AANs in the network By replacing the GA with MRPSO there is better traffic prediction The work should be done on the combined data instead of the breakdown data.