A Target Tracking Algorithm Based on Prediction

Tracking of moving target has attracted more and more attention due to its importance in utilizing sensor network for surveillance.The algorithm adopts static grid network structure.In this paper,we propose a target tracking algorithm based on prediction aim at the issue of energy and precision in wireless sensor networks.When the target moving into the monitoring area,vibration transducer in sensor node can detect it.The cluster head node computes the target ' s location on the basis of detection signal strength.The position computation adopts the weighted centroid localization algorithm based on detection signal strength.The cluster head node predicts the future forecast goal position according to the target ' s known position information.The results demonstrate that the improved target tracking algorithm can achieve higher tracking precision and the missing rate can reduce to a reasonable range.