Abstract— Mobile multimedia networks that handle multicast communication services require a reliable and efficient point-to-multipoint specific group communications. In mobile networks, this leads to many challenges to provide an efficient multicast routing. In this paper, an extension to our previous work is proposed. In the previous work, the construction of multicast distribution tree (MDT) for multicast routing in mobile networks was proposed. However, in this work, the technique is revised and scalability is adapted to construct an efficient multiple multicast routing in mobile networks. The technique involves the construction of MDTs for multiple multicast groups (MCG), considering the network traffic and available resources. The technique uses Hopfield Neural Network (HNN) and Kohonens Neural Network (KNN) for the construction of efficient multiple MDTs. The computational power of the proposed technique is demonstrated through simulation. The technique is tested for different group size and network topologies along with host mobility. The proposed work facilitates a possible multicast routing technique for future high speed mobile networks and on-demand multicast applications.
Index Terms— Efficient routing, mobile networks, multiple multicast routing, neural networks.
B. P. V. Kumar is with the Dept. of Information Science and Engineering, M. S. Ramaiah Institue of Technology, Bangalore, India (e-mail: vijaykbp@yahoo.co.in).
S. M. D. Kumar is with the Dept. of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India (e-mail: dilipkumarsm@gmail.com).
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Cite: Vijaya Kumar B. P. and Dilip Kumar S. M., " Neural Networks Based Efficient Multiple Multicast Routing for Mobile Networks," International Journal of Information and Electronics Engineering vol. 4, no. 2, pp. 145-152, 2014.
