Design and simulation of vertical handover algorithm for intelligent transport system using analytic hierarchy process

Abstract

In this paper, we propose how to select the optimal network from the available radio networks in case of vehicular communication, for a particular voice application. Selection of network is done by analytic hierarchy process (AHP) and fuzzy TOPSIS method. Basically, AHP is extending to do group decision analysis and solving both qualitative as well as quantitative problem. The TOPSIS logic is rational and understandable. The concept allows the search for the best alternatives for each of the criteria represented in a simple mathematical form. The main goal of our work is to propose the establishment of an uninterrupted communication through intelligent transportation system (ITS). An important challenge in moving beyond third-generation wireless networks (B3G) is to integrate the different types of networks used for wireless communication. The main purpose of this work is to design a new vertical handover algorithm on different radio networks for intelligent transport systems (ITS). The most difficult solutions for collaboration are vertical handover (VHO), the decision of mobile nodes to handover in a variety of ways of networks. In this paper, we describe how VHO can be supported in B3G network architecture considered within multiple heterogeneous radio access technologies (RATs). In general, it can be stated that the network selection problem within the VHO decision should be managed by the mobile user when available networks are not coordinated, i.e., a user can decide that which one is the best network. In this paper, we also discuss how radio network can switch depending upon the speed of the vehicle.