Network selection algorithm based on decision tree in heterogeneous wireless networks

A network selection algorithm based on Decision Tree is proposed to solve the problem. Users can select the appropriate network according to their service characteristics and requirements when they decide which network to access. First, we get the training data under the Interactive Class service from the synergetic algorithm which can be used for training set. The network attributes are used for attribute set. And then we can choose the attribute with the largest information gain as the division attribute after the discretization of continuous features by the bisection method. Keep going this step recursively, we can finally get a decision tree with high generalization ability by which we can make the network selection. Simulation results show that the algorithm we proposed is simple and effective and demonstrate the effectiveness of our scheme in improving the quality of service according to the user requirements under the Interactive Class service.

Abstract licence: CC BY

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