A Novel Ranking Algorithm Based Network Selection For Heterogeneous Wireless Access

In order to provide ubiquitous access for the users, future generation network integrate a multitude of radio access technologies (RAT’S) which can interoperate between them. However, the most challenging problem is the selection of an optimal radio access network, in terms of quality of service anywhere at anytime. This paper proposes a novel ranking algorithm, which combines multi attribute decision making (MADM) and Mahalanobis distance. Firstly, a classification method is applied to build a classes which having the homogeneous criteria. Afterwards, the Fuzzy AHP, MADM method is applied to determine weights of inter-classes and intraclasses. Finally, Mahalanobis distance is used to rank the alternatives. The simulation results show that the proposed algorithm can effectively reduce the ranking abnormality and the number of handoffs.