Abstract: To address the problem that the current heterogeneous wireless network access selection algorithm has difficulty in selecting the best wireless network from the alternative networks,we propose a new heterogeneous wireless network access algorithm.First,we use the fuzzy hierarchy analysis method to calculate the subjective weight of the attribute index of heterogeneous wireless networks.Then,we use the rough weight to calculate the objective weight.Finally,according to the service requirement,we dynamically adjust the subjective and objective weights to select the best access network.Experimental results show that the proposed algorithm can reduce the network switching frequency and congestion occurrence probability,effectively balance the network load and perform better in selecting the best access network.
heterogeneous wireless network,
subjective and objective weight,
fuzzy hierarchy analytic,
rough set theory