基于粒子群的TCP非凸优化速率控制算法

Nonconvex Rate Control Algorithm in TCP Network Using Particle Swarm Optimization

为了有效地解决网络中拥塞问题,针对实际网络中存在非弹性流的情况,考虑了网络中非凸优化速率控制问题。基于最大化用户效用函数框架,去掉了以往研究中对效用函数的严格假设,利用粒子群方法设计了分布式速率控制算法。算法中链路从网络获知拥塞链路的条数,用户根据对应的效用函数和拥塞反馈信息调整自身速率。仿真结果表明,算法可以很快地收敛到最优速率。

To the congestion control,of networks with the inelastic traffic,the nonconvex rate control problem is discussed.Restrictive assumptions on utility function are removed and a simple distributed rates algorithm is proposed using the particle swarm optimization based on the network utility maximization framework.The network communicates to the user the number of congested links on the user＇s path,and the user adjusts its rate accordingly,taking into account its utility function and the network congestion feedback.Numerical example shows that the algorithm converges to the optimal rates.