摘要
为了提高动态无线传感器网络在目标跟踪、入侵检测、姿态检测、环境监控等应用中的准确性,文章提出了一种移动节点的定位机制,运用概率栅格方案确定移动节点在监测区域的概率分布,由带权重的离散采样集估计出考察时刻移动节点的概率分布,并通过统计实验方法完成移动节点的自定位。该定位机制无需对无线传感器网络的先验知识和节点移动方向进行假设,利用低密度的锚节点即可得到较高的定位精度,能够有效地利用移动节点的移动性,降低不确定性因素的影响。仿真实验结果验证了该定位机制的有效性。
To improve accuracy of dynamic wirless sensor networks in applications of target tracking, intrusion detection, gesture measuring, enviorment minitoring and control and so on, the paper proposed a location mechanism for mobile nodes. Probability grid scheme was used to determine probability distribution of mobile nodes in monitoring area. Probability distribution of mobile nodes at the studying moment was estimated by discret samping set with weight. Method of statistical experiment was used to complete self-location of mobile nodes. The location mechanism needn't prior knowledge of wireless sensor networks and hypothesis of mobile directions of nodes. High accurate of node location can be achieved using anchor nodes with low density, which can utilize mobile charaitnitics of dynamic nodes effectively and decrease influence of uncertain factors. The simulation results verified the validity of the location mechanism.
出处
《工矿自动化》
2009年第4期46-49,共4页
Journal Of Mine Automation
基金
高校青年科研基金项目(A200713)
关键词
动态网络
无线传感器网络
节点定位
概率栅格
统计实验方法
dynamic network, wireless sensor networks, node location, probability grid, method of statistic experiment