Abstract: Aiming at the problems of low network capacity and large energy consumption of nodes in the control process, we proposed a variable structure node position control method of high speed network based on particle swarm optimization algorithm. The method combined with particle swarm optimization algorithm and Metropolis acceptance criterion, found the corresponding particle positions of each network node, adaptively adjusted the initial position weight, obtained the particle optimal value, and established the position control model of variable structure node of high speed network to realize the position control of variable structure node. The simulation experiments were compared with the current methods, the results show that the energy consumption can be controlled within 30 kJ in the experiment of 250 node position control,  and the control efficiency is high.

Key words: high speed network, node, location, intelligent control