A sensor scheduling algorithm with radiation control based on POMDP

Aiming at the radiation control problem for sensor scheduling, a sensor scheduling algorithm based on partially observable Markov decision process (POMDP) is proposed. The target model is set up in the three-dimensional space, and the tracking task requirement is given by fuzzy logic theory. Then the radiation risk model is formulated as a POMDP, and the sensor radiation risk is dynamic updated by hidden Markov model (HMM) filter. Moreover, consider the tracking task requirement and the sensor constraint, the sensor scheduling problem is transformed as a nonlinear optimization problem. Finally, the scheduling sequence of different targets is dynamic solved with the above constraint. Simulation result proves the effectiveness of the proposed algorithm.