Research on the Multi-Target Tracking Scheduling Algorithm in the Wireless Sensor Network

Abstract

Abstract:The main problem is how to improve the tracking accuracy and reduce the energy consumption in the multitarget tracking research of the wireless sensor network. The detection extent should be selected according to the relationship between the prediction target state and the sensor nodes. In addition, the selected detection extent can be waked up and then form the clustering set to track the targets. The successful tracking for the multi-targets can be achieved by adjusting the detection extent and adopting time to separate the conflict time in the conflict nodes. The simulation results show that the method proposed in the paper can actually improve the probability of successful tracking.