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Always Best Connected (ABC) concept allows the best connectivity to mobile users anywhere at any time in heterogeneous network environment. To answer its requirement, Network selection techniques play a considered role in providing the best QoS in such environment. In this paper authors study the use of Multiple Attribute Decision Making (MADM) used to choose the best network from available networks. Authors compare handover decision algorithms: MEW (Multiplicative Exponent Weighting), SAW (Simple Additive Weighting) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) in terms of end-to-end delay and packet loss using Two available networks WLAN and Wimax in NS-3. All algorithms allow different attributes (e.g., bandwidth, delay, Jitter and Bite Error rate) to be included in the simulation.

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Abstract:In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a realtime ns-3 simulation. Analytic Hierarchy Process (AHP) provides the weights of attributes which allow the comparison in different types of applications. Therefore, we propose a performance evaluation model with a reconfiguration of AHP parameters used in the literature. Simulation results show that the proposed parameters provide an improvement of Delay and offer allowable Packet loss in different types of applications.