Fuzzy multiple attribute decision access scheme in heterogeneous wireless network

A lot of researches focus on access selection schemes based on decision matrix in HWN (Heterogeneous Wireless Network). For the decision matrixes do not dynamically change with the constantly changing network, they do not resolve the contradiction between the algorithm complexity and terminal process capacity. In this paper, we propose an efficient access selection solution FMADA (Fuzzy Multiple Attribute Decision Access). Our main contribution is that we use some appropriate utility functions according to different characteristics of the decision-making factors and an adaptive filtering method, so as to forecast and formulate a dynamic decision matrix in HWN. Through the optimization, it improves the accuracy of normalizing network parameters, reduces the burden of terminate in process capability, and strengths the algorithm stability of access selection. In addition, the paper builds up a HWN access selection demonstration platform based on Mini2440 development board to verify the performance. The results show that it can reasonably and efficiently access the optimal network according to types of services, the user’s preference and actual network status.