Research of Selection Algorithm in Vehicles Mobile Networks Based on 3G/WiMAX

Abstract

For the limitation of the architecture in traditional vehicle communication networks, a new architecture of the fusion heterogeneous network based on 3G/WiMAX is designed. In order to roam in 3G/WiMAX networks seamlessly, a fuzzy neural network access selection algorithm optimized on the basis of ant colony optimization (ACO) algorithm is put forward. The proposed algorithm takes radio signal strength, terminal moving speed and network bandwidth into consideration to process fuzzy neural network processing module. The specialty of the algorithm is using ACO to optimize and adjust the parameters of membership function. The simulation results show that the proposed algorithm can decrease the packet dropping probability, reduce the happening times of Ping-Pong effect and decrease the blocking probability on the consideration of guaranteeing the QoS for users.