Research on Target Tracking Algorithm Based on Bilateral Dynamic Event Driven

When the wireless sensor network is used for target tracking, it is difficult to work stably when the energy of some nodes is exhausted. Traditional target tracking algorithms are frequently driven and only consider the communication frequency between sensors, without simultaneously considering the measurement frequency between sensors and tracking targets. To reduce network resource consumption, a bilateral event driven target tracking algorithm is proposed, which introduces event driven mechanisms between sensors and tracked targets, and updates internal dynamic variables to adjust driving conditions. The measurement error function is further improved to improve the tracking accuracy, so that the tracking error is bounded in the mean square sense. Finally, the effectiveness of the proposed method is verified through simulation examples.