Algorithm for Vertical Handover using Multi Attribute Decision Making Techniques

The demand for high data rate paired with least cost, from mobile users, has been ever growing as mobile apps are being increasingly used for day to day service as well as commercial applications. This can be met to some extent by deploying efficient Vertical Handover Decision Algorithms (VHDAs) among prevalent Heterogeneous Wireless Networks (HWNs), giving due importance to bandwidth and cost. In this paper, we have presented the VHDA implementation in a real life scenario, based on measured values of input parameters RSS, bandwidth, cost and velocity of the user. We have compared the results from MADM techniques like Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS).