摘要
进行大范围农田监测时,为了实现监测的有效性,需要及时确定农田环境参数异常的区域。为此,针对无线传感器网络节点定位技术应具有高精确度且节省能耗的要求,给出了一种基于跳数分类加权的DV-Hop定位算法。首先,对网络中不同的跳数进行分类;然后,在不同的跳数集合中采用加权策略,得到不同跳数对应的各自不同的平均跳离,进而减小平均跳距对定位精度的影响。为了验证算法的有效性,采用MatLab软件对改进后算法的节点定位精度进行了仿真实验。结果表明,提出的定位算法有效降低了节点定位误差。
When carrying out large-scale farmland monitoring, in order to realize the effectiveness of monitoring, it is necessary to determine the areas where the farmland environmental parameters are abnormal in time. For this reason, a wireless sensor network node positioning technology should have high accuracy and save energy consumption. A DV-Hop location algorithm based on Hop Count Classification-Weighted was proposed in this paper. Firstly, different hop counts in the network were classified, secondly, in different sets of hops, a weighting strategy is used to obtain different average jump distances corresponding to different hops, thereby reducing the impact of the average hop distance on positioning accuracy. In order to verify the effectiveness of the algorithm, MATLAB software was used to simulate the node positioning accuracy of the improved algorithm. The results show that the positioning algorithm proposed in this paper effectively reduces the node positioning error.
作者
闫文豪
韩宇星
Yan Wenhao;Han Yuxing(College of Electronic Engineering,South China Agricultural University,Guangzhou 510642,China;National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology,Guangzhou 510642,China)
出处
《农机化研究》
北大核心
2021年第6期36-41,共6页
Journal of Agricultural Mechanization Research
基金
广东省杰出青年科学基金项目(2018B030306026)。
关键词
农田监测
无线传感器网络
DV-HOP算法
跳数分类
加权
farmland monitoring
wireless sensor network
DV-Hop algorithm
hop count classification
weighting
