Prediction-Based Activation in WSN Tracking

In Wireless Sensor Network (WSN) based tracking, the random factors in the target´s movement and the sensors´ measurement together with the limited sensing ability will cause target loss. Therefore, target loss probability is important for the WSN design and performance evaluation. In this paper, a theoretical analysis of the target loss probability with other key parameters is carried out. Based on the analysis, an adaptive-radius activation policy is developed to reduce target loss. Numerical examples demonstrate adaptive-radius activation policy is effective.