An Intelligent Network Selection Strategy Based on MADM Methods in Heterogeneous Networks

TL;DR

This paper introduces an intelligent network selection strategy for heterogeneous wireless networks using MADM methods, specifically ANP and TOPSIS, to improve decision accuracy and address common MADM limitations.

Contribution

It combines ANP and TOPSIS methods for more reliable network selection in heterogeneous networks, overcoming MADM ranking issues.

Findings

Enhanced network selection accuracy

Reduced ranking abnormality and ping-pong effects

Effective handling of multiple criteria in network choice

Abstract

Providing service continuity to the end users with best quality is a very important issue in the next generation wireless communications. With the evolution of the mobile devices towards a multimode architecture and the coexistence of multitude of radio access technologies (RAT's), the users are able to benefit simultaneously from these RAT's. However, the major issue in heterogeneous wireless communications is how to choose the most suitable access network for mobile's user which can be used as long as possible for communication. To achieve this issue, this paper proposes an intelligent network selection strategy which combines two multi attribute decision making (MADM) methods such as analytic network process (ANP) and the technique for order preference by similarity to an ideal solution (TOPSIS) method. The ANP method is used to find the differentiate weights of available networks by considering each criterion and the TOPSIS method is applied to rank the alternatives. Our new strategy for network selection can dealing with the limitations of MADM methods which are the ranking abnormality and the ping-ponf effect.