Author(s): A. Bhuvaneswari, E. George Dharma Prakash Raj, M. Anandhi

Performing effective handoffs can greatly increase the reliability and the efficiency of any service provider. Performing these handoffs using conventional methods, though it provides accurate results, they usually take time, hence cannot be used in real time applications. A metaheuristic algorithm becomes the best option in this scenario. In this paper, we propose an efficient handoff decision making system using the metaheuristic based Ant Colony Optimization. The variants of ACO are analyzed along with their parallel counterparts. Best results were found to be exhibited by the 3-opt variant in terms of accuracy and time. This algorithm is then hybridized to provide better results.