基于UKF区域交叉定位的WSNs Sink节点动态跟踪算法

为了提高无线传感器网络（ WSNs）使用寿命，对WSNs的目标跟踪方式进行研究，提出基于无迹Kalman滤波（ UKF）的WSNs Sink节点动态跟踪算法，以实现高效节能的资源管理和利用方式。首先利用UKF算法对目标节点的下一位置进行预测，然后通过四圆区域定位交叉定位算法对Sink节点的位置区域进行局部准确定位。实验结果表明：这种动态的Sink节点预测定位算法能够有效缩短数据发射传感器和Sink点之间的距离，减少跳数，从而实现负载均衡降低能耗的效果。

Dynamic tracking algorithm for WSNs sink node based on UKF and regional cross localization

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.