Neural Networks Based Efficient Multiple Multicast Routing for Mobile Networks
Keywords:
Vijaya Kumar B. P., Member, IACSIT and Dilip Kumar S. M., Member, IACSITAbstract
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.
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