基于改进的网络简化模型,提出一个大时滞网络拥塞控制算法称为改进的混沌优化PID控制算法(ICPID)。改进的网络简化模型考虑了时滞的影响,利用这个模型,AQM路由器应用改进的混沌优化策略优化PID控制器参数。通过加速混沌搜索快速得到控制器参数的次优值,运用变尺度方法在次优值附近找出控制器参数的全局最优值。对比仿真结果表明,该算法有较好的鲁棒性,链路利用率更高,丢包率更小,平均队列长度更趋于期望值,综合性能优于PI和DC-AQM。
A new congestion control algorithm called PID controller design with improved chaos optimization algorithm based on improved model with delay term was proposed in large-delay network situations. According to the model, the PID parameters were tuned with chaos optimization in AQM routers. This optimization algorithm that mixed stepped-up chaos optimization algorithm and mutative scale strategy could speed up the chaos ergodic optimum searching of the controller parameters. Compared with PI and DC-AQM via experimental simulations, the proposed method is more efficient and robust in achieving the lower packet loss rate and higher link utilization.