一种改进的基于移动信标的节点自定位算法设计

Design for Improved Localization Algorism Based on Mobile Beacon for Sensor Node

为了降低由过多固定信标辅助定位导致的网络成本开销,研究了一种改进的基于移动信标的节点自定位方法。首先,给出了移动信标运动的高斯马尔可夫模型,在对传统质心算法进行改进的基础上提出了一种基于RSSI比值的加权质心算法实现节点的初定位;然后,建立了节点位置的状态方程和RSSI强度值的观测方程,通过扩展的卡尔曼滤波算法实现对节点位置的迭代求精;最后对文中基于移动信标的节点定位算法进行了定义和描述。仿真实验表明,文中方法在仅有一个移动信标的情况下能实现节点的准确定位,且与其它方法相比,具有较小的定位误差。

In order to reduce the network consumption for too much fix beacons auxiliary localization, an im- proved localization algorism based on mobile beacon was proposed. Firstly, the mobile bean moving model such as Gaussian Markov model was given, and the traditional centroid algorism was improved for introducing the RSSI rate to realize the localization for initially sensor node position. Then the state equation for position of sensor node and the observation equation for RSSIwas built, and the extended Kalman filter algorism is used to get the iterative re- finement of the node position. The simulation experiment shows the method in this paper can realize the node locali- zation accurately, and compared with the other methods, it has the less localization error.