Wireless sensor network tracking method based on self-adapting prediction

Abstract

The invention discloses a method for wireless sensor network target tracking. The method comprises the following steps: to obtain quadratic polynomial predictive model of the relation between X coordinate or Y coordinate of description target and time; cluster header nodes predict the target position of next time by quadratic polynomial predictive model; cluster header arouse the sensor nodes near target predictive position to perform target tracking; two target predictive position and orientation positions perform self-adaptation on the value of the number of time according to the current hour and two adjoining hours. Cluster header nodes establish new quadratic polynomial predictive model using updated fitting data to realize the target tracking by repeated prediction and orientation course. The method has the advantages of effectively low the effect of the target acceleration change on target position prediction, decreases predictive error of target position forecast, improves target tracking accuracy.

Description

technical field [0001] The invention relates to a wireless sensor network target tracking method based on adaptive prediction, in particular to a wireless sensor network target tracking method based on a quadratic polynomial prediction model. Background technique [0002] Wireless sensor network is a new generation of sensor network, which has a very broad application prospect. Target tracking is one of the important applications of wireless sensor networks, and target position prediction directly affects the accuracy and reliability of target tracking. When the target prediction error is large, it is easy to cause target loss. Usually, the target location at the next moment is predicted based on the target positioning coordinates at several moments, and the modeling method of the target prediction model is the main factor determining the accuracy of target prediction. The traditional linear prediction method only establishes a prediction model based on the target positioni...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the traditional wireless sensor network target tracking method is greatly affected by the target positioning error and the change of the target motion law, the present invention provides a method based on adaptive prediction A wireless sensor network target tracking method, which uses target positioning historical data to establish a mathematical model that approximates the relationship between target coordinates over time, and uses the model to predict the target position, and performs adaptive modeling through real-time estimation of prediction errors to reduce target positioning errors and the impact of target motion changes on tracking performance to improve target tracking accuracy

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