The novel application of artificial neural networks for a reliable secure wireless multicast routing in mobile ad-hock networks

Authors:
B. S. Vishwanath;Hari Kumar Naidu;K. Thanushkodi;M. B. Sanjay Pandey;G. Vasanth
Affiliations:
Electrical and Electronics Eng., Visvesvaraya Technological Univ., Belgaum, Karnataka and Dayananda Sagar College of Eng., Bangalore, Kartnataka, India;Electrical and Electronics Engineering, Anna University, Coimbatore, Tamil Nadu and Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India;Electrical and Electronics Engineering, Anna Univ., Coimbatore, Tamil Nadu and Akshaya College of Eng. and Techn., Coimbatore, Tamil Nadu, India;Visvesvaraya Technological University, Belgaum, Karnataka and GSSS, IETW, Mysore, Karnataka, India;Visvesvaraya Technological University, Belgaum, Karnataka and BTL Institute of Technology, Bangalore, Karnataka, India
Venue:
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Year:
2010

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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.