A Methodology for Evaluating Vertical Handoff Decision Mechanisms
ICN '08 Proceedings of the Seventh International Conference on Networking
IEEE Journal on Selected Areas in Communications
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Heterogeneous wireless networks (HWNs) integrate diverse and complementary wireless technologies to ensure seamless and uninterrupted service continuity for mobile users moving between different networks. Selecting the most optimal and promising network is main concern for overall network stability and user satisfaction. This paper presents UIVH (User Specific Intelligent Vertical Handoff): a multi-criteria algorithm for HWN which uses ANFIS (adaptive neuro-fuzzy inference system) to select best network for vertical handoff (VHO). UIVH uses Sugeno fuzzy inference system (FIS) to decide when to perform handoff. ANFIS is used to rank different wireless networks for VHO based on set of parameters along with user preferences on a mobile device. UIVH is intelligent and adaptive. It also balance overall load of HWN. Simulation results demonstrate that UIVH always selects best available network to accommodate the specific needs of users. For UIVH, gradual increase in handoff completion time was observed with gradual increase in number of handoffs.