<FONT face=Verdana>A dynamic task scheduling approach basedon particle swarm optimization (PSO) and simulated annealing (SA) technique forwireless sensor and actuator networks is proposed to solve the execution problem of tasks collaboratively among actuators.The purpose of approach is minimizing the maximum response time in the actuators subject to residual energy constraints and schedule execution period of each task operation within given time.Simulation results have shown that the proposed hybrid approach is of high convergence speed and good performance between task response time and balancing the energy dissipation among actuators.