A new sensor selection approach based on dual-criterion optimization for sensor networks

This paper considers the sensor selection problem for target tracking in large-scale sensor networks. We propose a new sensor selection strategy based on dual-criterion optimization. Both the bias change detection and information gain maximization are considered as criteria in our proposed sensor selection strategy. This new approach extends the sensor selection problem from single criterion optimization to dual-criterion optimization. Therefore, our proposed approach can be used widely in many target tracking applications. Simulation results show the effectiveness of our proposed sensor selection approach.