Abstract:The communication quality and transmission effect of wireless sensor networks in smart classrooms are different under different edge node deployment modes. In order to reduce the communication delay after deployment and improve the efficiency of data transmission and network use in smart classrooms, an intelligent deployment method of wireless sensor network edge nodes for smart classrooms is proposed. The objective function of intelligent deployment of edge nodes is built with the optimization goal of good communication in the smart classroom scenario and minimizing the cost of deploying edge nodes. Set traffic constraints, data flow constraints and node computing capacity constraints for the objective function. Self adaptively adjust the inertia weight, particle update speed and Pareto optimal solution preservation strategy of the particle swarm optimization algorithm, design a multi-objective improved particle swarm optimization algorithm to solve the objective function, and achieve intelligent deployment of wireless sensor network edge nodes for smart classrooms. The test results show that? the proposed method has low delay and high network computing capacity, ensuring the communication and transmission quality of wireless sensor network in smart classrooms.