CAJ | 학술논문

在传感器网络中sink点（或网关）是收集信息的节点，但其生存周期受能量限制，为了提高传感器网络的使用寿命，对传感器网络的目标跟踪方式进行研究，提出基于无迹Kalman滤波（UKF）的传感器网络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。该算法主要包括位置预测和目标定位两个步骤：首先利用UKF算法对目标节点的下一位置进行预测，通过选择各节点的开启／睡眠状态使sink节点靠近预测位置；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与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。
재전감기망락중sink점（혹망관）시수집신식적절점，단기생존주기수능량한제，위료제고전감기망락적사용수명，대전감기망락적목표근종방식진행연구，제출기우무적Kalman려파（UKF）적전감기망락sink절점동태근종산법，이실현고효절능적자원관리화이용방식。해산법주요포괄위치예측화목표정위량개보취：수선이용UKF산법대목표절점적하일위치진행예측，통과선택각절점적개계／수면상태사sink절점고근예측위치；연후통과사원구역정위교차정위산법대sink절점적위치구역진행국부준학정위。실험결과표명，저충동태적sink절점예측정위산법능구유효축단수거발사전감기여sink점지간적거리，감소도수，종이실현부재균형강저능모적효과。
Sink(or gateway)in the sensor network point is node collects informations but its lifetime is constrainted by ener-gy,in order to improve the sensor network lifetime,research on object tracking in sensor networks,and proposed an unscented Kalman filter (UKF)based sensor network sink node dynamic tracking algorithm in order to realize resource management effi-ciency.The algorithm mainly included the location prediction and target of two steps,firstly,it used the UKF algorithm of sink node a position prediction,by selecting nodes on/sleep makes sink nodes gradually close to the predicted position,and then used the four round of regional positioning algorithm of cross location location area of sink node locally accurate positioning. The experimental results show that the dynamic prediction of sink node localization algorithm can effectively shorten the data transmission between sensor and the sink distance of a point to reduce the number of hops,achieving load balancing energy consumption reducing effect.