Abstract

The route congestion and propagation delay is one of the major issue of the mobile ad hoc network (MANET) which can be overcome by the multi-path communication. But communication through multi-path routing may create a bottle neck problem in the destination node. To select the optimal number of paths between a set of paths can be generated by different parameters. We consider those paths which take minimum time to deliver a data packet from source to destination. Now to distribute the data packets which are generated by source node through these paths in such a way that no path is being overloaded. In this paper, we apply the recurrent neural network based ERNN (Elman recurrent neural network) approach to predict the future load of different paths in the network. This is a time series prediction model using recurrent neural network for evaluating the values in the future time frame. Our experiment shows that this technique can perform very good result in comparison with other state of the art multi-path routing techniques.

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