摘要
针对物联网监控区域中的节点由于地理位置、天气等各类原因,其位置易变且分布不均的特点,定义了一种改进的DV-Hop定位算法实现对节点的定位;首先在跳数获取阶段通过改变锚节点的数据包结构来降低节点数据存储量;在平均跳距计算阶段,引入权值对原有的平均跳距计算方式进行改进,同时节点与锚节点之间的距离计算依据参考锚节点的不同而不同;然后,在节点定位阶段,使用多边测量法及泰勒级数进行迭代求精;最后,对文中方法进行仿真实验,且与已有方法进行比较,结果证明文中方法,较好地解决物联网监测区域的节点定位问题。
Aiming at the sensor nodes in the monitor area of internet of thing have the characters of position easy moving and distributing uneven, an improved localization algorism is defined. The classic DV--Hop algorism is analyzed and the improved steps are defined. Firstly, in the hop obtaining step the data structure of packet is changed to reduce the data storage of node. In the average hopValue calculating step, introducing the weight value to improve the primary calculating method, and the distance between the node and the anchor node is different according the different reference anchor node. In the node localization step, the Taylor series is used to get iterative refinement. Finally, the method in this paper is simulated and compared with the given methods, the result shows our method can reduce the localization error, im prove the accuracy and solve the node localization problem in Internet of things without the adding for device and communication.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第11期2916-2918,2925,共4页
Computer Measurement &Control
关键词
物联网
传感器节点
监控
定位
Internet of things
sensor node
monitoring
localization
