ISSN: 2182-2069 (printed) / ISSN: 2182-2077 (online)
A Fuzzy-Based Hybrid FAHP-FTOPSIS Algorithm for Improving Vertical Handoff Decision-Making in Heterogeneous Wireless Networks
The presence of different Radio Access Technologies (RATs) within the same coverage area is a crucial component of heterogeneous wireless networks (HWN). Hence, it is desired to maintain uninterrupted connectivity while maximizing the quality of service (QoS) to satisfy user needs when they seamlessly roams across different RATs. But the main challenging issue here is the complexity of choosing the most appropriate network based on user context QoS criteria. This study focuses on network selection strategies to improve the QoS and to enhancing vertical handover between different RATs like UMTS, LTE, WLAN, and WiMAX by proposed a Fuzzy-Based hybrid of the Fuzzy Logic Analytical Hierarchy Process (FAHP) methods for computing weight scores with the Fuzzy Logic Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) methods for ranking Rats, simulated by MATLAB software simulation tool. The simulation result shows that the hybrid algorithm's reduce handoff decision delay by 1.5%, 2.1 %, and 2.7% for conventional, 2.1%, 6.75% and 11.15% for interactive, 3.2% ,3.8%, and 4.5% for background, and 5.3%, 5.7%, 15.8% for streaming class, Handoff failure reduced by 1.1%, 4%, and 7%, number of vertical handoffs improved by 3%, 8.25%, and 11.25%, for FTOPSIS, TOPSIS, and SAW algorithms respectively. The simulation results demonstrate that, while choosing the optimal network among available RATs, the hybrid FAHP-FTPOSIS algorithm outperforms superior to the existing algorithms compared to FTOPSIS, TOPSIS, and SAW, in terms of best network selection by taking user QoS handoff criteria priority.