CAJ | 학술논문

针对Euclidean算法中定位精度及覆盖率受锚节点密度影响较大的问题,提出一种改进的分布式节点自定位算法.该算法将初始定位精度较高的节点升级为锚节点,未知节点根据更新的锚节点位置信息循环求精,并通过估计坐标值的方差来控制循环求精过程中的循环次数.仿真实验显示,改进定位算法在锚节点密度较低的情况下能有效提高定位精度和覆盖率,明显降低了对锚节点密度的依赖程度.
침대Euclidean산법중정위정도급복개솔수묘절점밀도영향교대적문제,제출일충개진적분포식절점자정위산법.해산법장초시정위정도교고적절점승급위묘절점,미지절점근거경신적묘절점위치신식순배구정,병통과고계좌표치적방차래공제순배구정과정중적순배차수.방진실험현시,개진정위산법재묘절점밀도교저적정황하능유효제고정위정도화복개솔,명현강저료대묘절점밀도적의뢰정도.
To address the problem that anchor ratio has a strong impact on localization error and coverage in Euclidean algorithm, this paper proposes an improved distributed localization algorithm. This method uses high localization accuracy nodes as new anchor nodes. According to the information, other nodes raise the localization accuracy by iterative refinements. And it controls the circulation times with the variance of coordinates. Simulation results show that, compared with Euclidean algorithm, improved localization algorithm can enhance the localization accuracy efficiently when the anchor ratio is lower. It is obvious that the influence of anchor ratio on the localization accuracy and coverage is less.