A novel approach for optimization of handover mechanism using metaheuristics algorithms

Abstract

The new generation wireless system is an integrated global network, which provides many services for end users across the globe. The major requirement of end users is to allow the mobile user to roam seamlessly across the network. Heterogeneous Wireless Networks (HWNs) permit users with global devices to access the required service at any place and anywhere. The HWNs contain many Radio Access technology RATs such as GPRS (General Packet Radio Services), UMTS (Universal Mobile Telecommunication Service), Wi-Fi (Wireless Fidelity), Wi-Max (Worldwide Interoperability for Microwave Access), WLAN (Wireless Local Area Network) and transferring the ongoing call and providing seamless mobility can be achieved by Vertical Handover (VHO) mechanisms. The heterogeneous wireless networks (HWN) integrated with the network characteristics, like the bandwidth, speed support, cost, security, power consumption, delay, and range of communication are employed for obtaining better Quality of Services (QoS). For better mobility management, handover (HO) is the most significant aspect considered for solving the issues regarding mobility the designed Novel approach uses metaheuristics algorithms like grey wolf optimization (GWO) and Mayfly optimization (MFO) technique to provide a better service for end-user in terms of energy consumption, and handover delay, Call drop probability and throughput.