Trusted Network Selection using SAW and TOPSIS Algorithms for Heterogeneous Wireless Networks

TL;DR

This paper compares SAW and TOPSIS algorithms for network selection in heterogeneous wireless networks to improve handover decisions and reduce processing delay during connection transitions.

Contribution

It introduces a comparison of MADM algorithms SAW and TOPSIS for vertical handover decision-making to enhance connection stability and reduce delay in heterogeneous networks.

Findings

SAW and TOPSIS algorithms effectively reduce handover processing delay.

Simulation results demonstrate improved connection continuity.

TOPSIS shows slightly better performance than SAW in delay reduction.

Abstract

Seamless continuity is the main goal in fourth generation Wireless networks (FGWNs), to achieve this "HANDOVER" technique is used, when a mobile terminal(MT) is in overlapping area for service continuity, Handover mechanism are mainly used. In Heterogeneous wireless networks main challenge is continual connection among the different networks like WiFi, WiMax, WLAN, WPAN etc. In this paper, Vertical handover decision schemes are compared and Multi Attribute Decision Making (MADM) is used to choose the best network from the available Visitor networks (VTs) for the continuous connection by the mobile terminal. In our work we mainly concentrated to the handover decision phase and to reduce the processing delay in the period of handover. MADM algorithms SAW and TOPSIS where compared to reduce the processing delay by using NS2 to evaluate the parameters for processing delay.