摘要
移动定位技术是移动互联网和物联网应用中的关键技术之一.本文提出的虚拟力导向的移动节点定位算法VFMPA(Virtual Force-oriented Mobilenode Positioning Algorithm)以锚节点的质心作为初始样本值,并与利用牛顿插值预测方程获得的预测值因子加权计算作为预测样本,通过滤波判断条件和虚拟力导向运动模型优化更新预测样本,有效减弱传统MCL算法中的累积误差,提高了定位精度,缩短定位时间.仿真实验表明该算法在通信半径、锚节点密度、样本大小等条件变化的情况下,表现出了较好的定位性能与较强的自适应性.
Mobile location technology is one of the key technologies in the application of Mobile Intemet and the Internet of things. In this paper, a virtual force oriented of mobile positioning algorithm is proposed. This algorithm uses the weighted arithmetic of the initial sample value which is the centroid of the anchor node, and the predication value factor obtained by Newton Plug Value prediction equation as the prediction sample, and it is then updated by the filtering judgement method and the Virtual Force oriented motion model, which has effectively weakens the cumulative errors ,improves the positioning precision, and shortens the time of positioning at the same time. The simulation experiments show that this algorithm has a good performance and strong adaptability in different communication radius and anchor density.
出处
《小型微型计算机系统》
CSCD
北大核心
2015年第5期934-938,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61102065
61370003)资助
广州市科技计划项目(2012J4100119)资助
广东省科技计划项目(2013B040401014)资助
广东省自然科学基金项目(S2012040010974)资助