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提出了基于蚁群算法(ACO)优化的模糊神经网络垂直切换算法ACO-FNN,综合考虑了信号强度、移动速度、可用带宽等因素进行模糊神经网络处理,并采用蚁群算法进行优化,调整隶属度函数的参数。仿真结果表明,该算法能够在减少乒乓效应的基础上更好的保证用户的服务质量QOS。
A ACO-based vertical switching algorithm ACO-FNN based on ant colony algorithm (ACO) optimization is proposed. The signal strength, moving speed and available bandwidth are taken into account to deal with the fuzzy neural network. Ant colony optimization is used to adjust the membership The parameter of the degree function. The simulation results show that this algorithm can better guarantee the QoS of users based on the reduction of ping-pong effect.