YU Le, YI Xiao-mei, MO Lu-feng, et al. A system for forest information acquisition and prediction by WSNs[J]. 2018, 37(11): 114-117. DOI: 10.13873/j.1000-9787(2018)11-0114-04.
一种WSNs森林信息采集与预测系统
摘要
针对森林信息监测存在环境复杂、监测范围受限、精度低等问题
提出了一种利用无线传感器网络(WSNs)对森林环境的温度、湿度和光照强度信息进行监测的方法
并开发了森林信息监测系统。WSNs采用改进的汇聚树路由协议(CTP)进行自组织
定时采集信息
并发送到后端进行数据的处理与分析。为全面监测森林信息的分布情况
采用Kriging插值算法对森林中无传感器节点的盲区进行插值预测
通过可视化系统界面
直观展示了森林信息分布情况。实验结果表明:提出的森林信息监测方法准确率较高。
Abstract
Aiming at the existing problems of forest information monitoring
such as complex environment
limited monitoring range and low precision
a novel method using wireless sensor networks(WSNs) to monitor temperature humidity and illumination intensity information of forest environment is presented
and forest information monitoring system is developed. WSNs uses improved collection tree protocol(CTP) routing protocol for selforganization
and collects information timely and sends it to back-end for data processing and analysis.In order to comprehensively monitor distribution of forest information
the Kriging interpolation algorithm is used for interpolation prediction on blind area without sensor nodes in forest. Forest information distribution is displayed through visualization system interface intuitively. The experimental results show that the accuracy of the proposed forest information monitoring method is higher.