Integrated Network Intelligent Node Deployment Algorithm of Improved
一种改进粒子群迭代优化的集成网络智能节点部署算法

In order to solve effects of intelligent node cross cover and mutual interference in complex environment inte- grated network system on intelligent node optimal position select, an integrated network intelligent node deployment al- gorithm of improved particle swarm optimization iteration was proposed. This algorithm first integrates network system intelligent node deployment model into the cross rate and interference constraint targets optimization problems,then u- ses the improved particle swarm optimization (pso) algorithm to map node deployment scheme, on the basis of the par- tide grain distance clustering degree and particle information entropy modifies particle weights, and then computes of the particle's fitness value, updates the local optimal solution and the global optimal solution of the particle,finally,u- ses the particle velocity and position update strategies to make iterative optimization to intelligent node deployment. Simulation experiments show that this algorithm has good convergence speed and convergence value is more excellent, effectively guarantees the maximum interference minimum coverage.