ఇంటర్నేషనల్ జర్నల్ ఆఫ్ స్వార్మ్ ఇంటెలిజెన్స్ అండ్ ఎవల్యూషనరీ కంప్యూటేషన్

నైరూప్య

An Open Flow Controller Based on the Intercerebral Neural Network for Media Independent Handover

Qiong Wu, Jun S Huang and Oliver WW Yang

This paper presents a novel open flow controller based on the intercerebral neural network for the media independent handover over wireless operation. This controller makes a binary decision based on the link control parameters obtained instantaneously from the trained neural network, which in turn depends on the instantaneous mobile speed interaction with the wireless link performance parameters. These parameters of packet loss, round trip time, radio signal strength, bandwidth, data cost and vehicle speed are typically different from network to network. We use a mutated particle swarm optimization to train the fundamental controller equation for the media independent handover that are mixed with the radial and sigmoid activation functions of the intercerebral neural network. Simulations based on the field experiment test data show that the system using the swarm intelligence algorithm is practical for the improvement of the overall secure networking experience for the fast delivery.