This paper is conced with a control problem of a diffusion process with the help of static mesh sensor networks in a certain region of interest and a team of networked mobile actuat-ors carrying chemical neutralizers. The major contribution of this paper can be divided into three parts: the first is the construction of a cyber-physical system framework based on centroidal Voro-noi tessellations (CVTs), the second is the convergence analysis of the actuators location, and the last is a novel proportional integ-ral (PI) control method for actuator motion planning and neut-ralizing control (e.g., spraying) of a diffusion process with a mov-ing or static pollution source, which is more effective than a pro-portional (P) control method. An optimal spraying control cost function is constructed. Then, the minimization problem of the spraying amount is addressed. Moreover, a new CVT algorithm based on the novel PI control method, henceforth called PI-CVT algorithm, is introduced together with the convergence analysis of the actuators location via a PI control law. Finally, a modified simulation platform called diffusion-mobile-actuators-sensors-2-dimension-proportional integral derivative (Diff-MAS2D-PID) is illustrated. In addition, a numerical simulation example for the diffusion process is presented to verify the effectiveness of our proposed controllers.