An adaptive neuro-fuzzy inference system modeling for VoIP based IEEE 802.11g MANET

Mobility-induced route failures necessitate to overcome, to provide effective internet access along with optimum QoS. Accordingly, MANET network needs to be investigated scrupulously amid assorted ad hoc protocols. The present paper uses Adaptive Neuro-Fuzzy Inference System (ANFIS) technique to model and simulate VoIP routed MANET scenarios at diverse routing at optimum mobility variation range of [0.6-1.4] m/s (Sharma et al., 2012 Third International Conference on Advanced Computing & Communication Technologies, IEEE, 2013, 261). The model combined modeling function of fuzzy inference with the learning ability of artificial neural network.