CAJ | 학술논문

针对无线传感器网络节点稀疏时会产生定位盲区的问题,在研究经典AOA(三角测量法)算法的基础上,提出了一种改进的无线传感器网络自定位算法,在节点自身基准线相对于绝对坐标轴夹角已知的情况下,未知节点只需一个邻居锚节点就能实现自定位.仿真实验证明,在节点数相同的情况下,改进的无线传感器网络自定位算法相比于经典AOA算法,有更高的有效定位率和更低的平均定位误差,适用于节点稀疏的网络环境.
침대무선전감기망락절점희소시회산생정위맹구적문제,재연구경전AOA(삼각측량법)산법적기출상,제출료일충개진적무선전감기망락자정위산법,재절점자신기준선상대우절대좌표축협각이지적정황하,미지절점지수일개린거묘절점취능실현자정위.방진실험증명,재절점수상동적정황하,개진적무선전감기망락자정위산법상비우경전AOA산법,유경고적유효정위솔화경저적평균정위오차,괄용우절점희소적망락배경.
In order to solve the problem of positioning blind areas in case of sparse nodes,an improved self-localization algorithm of wireless sensors network is proposed based on the traditional AOA algorithm ( triangulation method ).By applying this new algorithm,the unknown node needs only one neighbor an-chor node before realizing the positioning when the angle of the node ' s baseline and the absolute coordi-nate axis is given.Simulation experiments prove that on the condition of the same amount of nodes the improved self-localization algorithm of wireless sensor network enjoys higher positioning efficiency and lower average localization error compared with the traditional AOA algorithm.Therefore,the improved al-gorithm is applicable in the network environment of sparse nodes.