A multi-sensor schedule and radiation control method based on RWSO algorithms

To address the radiation risk problem in the sensor system during target tracking, we present a long-term scheduling method of radiation cooperative positioning under multi-sensor platform. First, quantify the tracking accuracy and radiation risk, which is associated with the distance between the sensor and the target, the transmitted power. Second, design the optimization variables including discrete variables and continuous variables, and the target optimization function balanced tracking accuracy with radiation risk. Finally, considering the effect of local decisions, establish the sensor forward scheduling model and solve the scheduling scheme by the war strategy algorithm based on the inverse learning mechanism. Simulation results show that the proposed scheduling method can effectively balance tracking precision and radiation risk, and realize radiation risk control in target tracking process.