Nonconvex Rate Control Algorithm in TCP Network Using Particle Swarm Optimization
Guan Xinping · Control Engineering of China · 2010
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.