Mean Opinion Score Based Handover Protocol with Particle Swarm Optimization for Multi Objective Constraints

Abstract

In the fast moving world, the wireless users expect a high data rate and rigid connectivity. For that the Next Generation Wireless Networks (NGWNs) are expected to provide high data rate and optimized quality of service to multimedia and real-time applications over the Internet Protocol (IP) network. To achieve these goals, handover plays a very critical role in maintaining the seamless connectivity when mobile terminals move across different cells or networks. In this paper, we propose a scheme for handoverprocess in an integrated scenario with Universal Mobile Telecommunication System (UMTS) and Worldwide Interoperability for Microwave Access (WiMAX) networks. The call quality is measured using Mean Opinion Score (MOS), as the major metric for handover optimization. The objective of this paper is to choose optimal MOS by using a multi objective Particle Swarm Optimization (PSO) algorithm for the selection of best base station. The proposed PSO based MOS handover scheme is compared with the traditional MOS-based handover scheme. The proposed work provides best base station selection with 20% reduction in delay as compared with the previous works. Similarly, the packet loss has been reduced to 50%, call dropping probability has been decreased as 20%and handover probability is found to be reduced up to 30% as compared with the existing schemes. Also, the band width of the proposed system has been increased at 5%. The numerical results are expected to demonstrate that our proposed scheme can maintain high call quality and reduce the probabilities for both handover dropping and call dropping. The proposed system is implemented and analyzed using MATLAB 7.10 with communication and mathematical tool boxes. TheHereditary Dominating Pair (HDP) and Code Domain Power (CDP) are plotted using MATLAB simulation. Index Terms: Mean Opinion Score, Particle Swarm Optimization.