Focusing on the dynamic tracking problem in sensor networks, a new maneuvering target collaboration tracking method based on Rényi information gain is proposed. First, the particle filtering algorithm is applied to obtain the Rényi information gain of each sensor. Then, the sensor was selected according to the maximal Rényi information gain. Moreover, the kinematics state of the maneuvering target is estimated by Interacting Multiple Model method. Simulation results show that the proposed method can achieve the desired tracking accuracy compared with traditional methods in a nonlinear non-Gaussian system.