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The Novel Application of Artificial Neural Networks for a Reliable Secure Wireless Multicast Routing in Mobile Ad-hock Networks

机译:人工神经网络在移动Ad-hock网络中可靠的安全无线组播路由中的新应用

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Abstract:-The application of Artificial Neural Network (ANN's to mobile Ad Hock Network) for multicasting where the problem is to find on efficient route to transmit to 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's 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.
机译:摘要:-人工神经网络(ANN在移动Ad Hock网络中)在多播中的应用,问题在于找到有效的路径以传输到网络中的许多节点。对于在MANETS中解决安全性和服务质量(Q.O.S.)问题的MANETS中的多播,该区域非常适合ANN实施。 ANN能够了解移动性范围内不同节点的过去,当前和将来的路线发现之间的关系。近年来,各种各样的人工神经网络已用于路​​线发现,从而导致有关该主题的出版物数量显着增加。本文提出了人工神经网络在具有支持节点的MANET的安全组播中的有效而新颖的应用,已经引起了人们对于使用ANN模型进行安全路由的关注。该方法考虑了用于ANN的输入变量的选择,确定具有支持节点路由功能的多播隐藏层选择的最佳神经元数量。所提出的人工神经网络模型使用使用反向传播算法的前馈网络。

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