Sensor Management Method based on Optimal Response Dynamics with Game Theory

In order to improve the detection probability of the sensor in the process of target detection, a sensor management method based on optimal response dynamics with game theory is proposed. In this paper, the sensor management process can be regarded as a game process. In this algorithm, the updating of sensor game strategy is based on the principle of optimal response dynamics, and then the convergence and effectiveness of the algorithm are analyzed theoretically. The simulation part compares the proposed algorithm with particle swarm algorithm, bee colony algorithm and auction algorithm to verify the effectiveness of the proposed algorithm. Simulation results show that the proposed algorithm not only has better convergence and effectiveness, but also can reduce the number of sensors and improve the detection probability.