Comparison of MADM decision algorithms for interface selection in heterogeneous wireless networks

Current mobile terminals are often equipped with several network interfaces, which may be of different access technologies, both wireless and cellular. It is possible to select dynamically the best interface according to different attributes such as the interface characteristics, user preferences and/or application preferences, … MADM is an algorithmic approach suitable to realize a dynamic interface selection with multiple alternatives (interfaces) and attributes (interface characteristics, user preferences …). In this paper, we compare the performance of three MADM algorithms e.g. SAW, WP, and TOPSIS. The simulation results show that each algorithm has its own limitations. TOPSIS suffered from “ranking abnormality” problem, SAW and WP provide less accuracy in identifying the alternative ranks compared to TOPSIS.