A Novel Algorithm for Selecting Multimedia Network Connections in Next Generation Networks

In the past, Always Best Network Connection (ABNC) has been presented to selecting an access network based on the characteristics of communication sessi on in heterogeneous wireless networks. The novelty of ABNC is to consider both source and destination access networks when a voice session is being setup. However, it is not su itable for multimedia service, which consists of video and dat a in addition to voice. This paper presents an Always Best Multimedia Network Connection (ABMNC) model to support multimedia services. ABMNC is an integration of a Multiple Attribute Decision Making (MADM) problem and a utility- based Multiple Knapsack Problem (MKP). We present a hybrid Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) scheme to solve the problem. Finally, a heuristic algorithm was proposed to reduce the complexity of access network selection. The simulation results sh ow that the presented approach performs better than current approaches.

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