Abstract: Focus on comprehensive adaption to excepted performance requirements for multiple tasks, a sensor task scheduling optimization is formulated, an iterative algorithm is also proposed with alternating joint adjustment of different resources parameters. Simulation results demonstrate that, compared with existing method, the task scheduling designed by the proposed algorithm is not only able to fully satisfy the performance requirements of all tasks while avoiding excessive inclination of resources towards high-priority tasks, but also able to adapt to various task scenarios, enabling the sensor to achieve stable performance maintenance as required of multiple tasks under resource- saturated conditions.