PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network(UHWN)

In this paper, Hybrid of Particle Swarm Optimization (PSO) and Neuro-Fuzzy (NF) has been proposed for improving Vertical Hand-off (VHO) decision for the Ubiquitous Heterogeneous Wireless Network (UHWN). The mobile users have made VHO decision based on data-rate, dwelling time and service type, residue energy and network connection time. To reduce the computational complexity, the pre-decision of VHO is made based on preference of user and number of non-occupied channel. The main aim is the improvement of Quality of Service (QoS) of link and reduction of hand-off frequency. This method is able to reduce call blocking probability, hand-off latency and hand-off call dropping probability, improve the throughput and also balance the load of radio access technologies. The execution of the proposed system has been performed using NS 2 simulator. The numerical results of the proposed algorithm outperforms the state-of-the-art method.