The deployment of heterogeneous sensor networks is more complex than that of the homogeneous sensor networks,for which the influence of the heterogeneity of nodes should be taken into full consideration.Particle swarm optimization algorithm is used for the deployment of heterogeneous sensor networks.By integrating the heterogeneity adaptability strategy and improving the fitness function,a new particle swarm optimization algorithm adaptive for heterogeneity is proposed.Simulation results show that:Compared with the basic particle swarm optimization algorithm,the proposed method can accelerate the convergence speed,improve the network coverage performance,and effectively avoid falling into the situation that the local optimum is inferior to the global optimum.