无线移动传感器网络节点自定位控制仿真研究

Self-localization Control Simulation Research of Network Node of Wireless Dynamic Sensor

研究移动节点确认自身位置信息的节点自定位问题,传感器节点的移动部署和数据通信容易受外界环境的干扰,造成网络节点自定位精度低。为解决上述问题,提出了一种改进的灰色系统预测移动节点定位技术。改进方法采用跨层设计,利用灰色系统预测移动节点及其相邻节点移动状态和距离来实时地根据自身及相邻节点位置重新成簇进而实现移动节点自定位控制。仿真表明,提出的灰色系统预测模型能够有效地提高了移动节点位置计算精度,在算法时空复杂度和能效上可以实现合理的自定位控制。

The paper proposed an improved node localization technology that uses gray system to predict the mo-bile nodes. The improved method adopts the cross layer design and uses gray system to predict the mobile nodes and the mobile status and distance of neighbor nodes to timely cluster according to the positions of the node itself and its neighbor nodes, thus realizing the self-local, ization control of the mobile node. The simulation shows that the proposed gray system prediction model can effectively improve the calculating accuracy of the mobile node position and realize the rational self-localization control in time-space complexity and efficiency.