In order to improve wireless sensor networks（ WSNs） lifetime

research on target tracking method in WSNs

and propose an unscented Kalman filtering（ UKF）-based WSNs sink node dynamic tracking algorithm

in order to realize high efficient and energy-saving resource management and utilization mode. Firstly

use UKF algorithm to predict next position of target node

and then through the four circle regional positioning algorithm of cross locationing

so as to locally and accurately locate location area of sink node. The experimental results show that the dynamic prediction localization algorithm for sink node can effectively shorten distance between data transmission sensor and sink node

and reduce hop count

so as to achieve load balancing and energy consumption reducing effect.