Role of ANN in Secured Wireless Multicast Routing during Dynamic Channel Allocation for User Demanded Packet Optimality

The application of Artificial Neural Network (ANNís to mobile Ad Hock Network) for multicasting where the problem is to find an efficient route to transmit packets over many nodes in the network. For multicasting in MANETS which address the security and Quality of service (Q.O.S.) issues on the utility database makes this area highly suitable for ANN implementation. ANN is able to learn the relationship among past, current, and future route discoveries of the different nodes in the mobility range. A wide variety of different ANN has been used for route discoveries in the few years resulting in a noticeable number of publications on the subject. This paper proposes effective and novel application of Artificial Neural Network to Secure Multicasting in MANET ís with Supporting Nodes has gained a lot of attention for secure routing using an ANN model. The methodology considers selection of input Variables for the ANN, determination of the optimum number of neurons for the hidden Layer selection of Multicasting with supporting nodes routing function. The proposed ANN model uses the feed forward network using back propagation algorithms.