您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

EMPIRICAL MODELING AND EVALUATION OF MULTI-PATH RADIO CHANNELS ON WHEAT FARMLAND BASED ON COMMUNICATION QUALITY

文献类型： 外文期刊

作者： Wu, Huarui 1 ; Miao, Yisheng 1 ; Li, Feifei 1 ; Zhu, Li 3 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China

2.Minist Agr, Key Lab Informat Technol Agr, Beijing, Peoples R China

3.Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China

关键词： Channel modeling;Multi-path channel;Multi-scale effects;Wireless sensor network

期刊名称：TRANSACTIONS OF THE ASABE （ 影响因子：1.188； 五年影响因子：1.695 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Wheat is one of the main food crops in northern China, but the process of wheat production lacks accurate and effective control. Wireless sensor networks (WSN) can be used to monitor environmental information and enable appropriate decision-making for a well-controlled production system. The farmland environment varies with crop growth, which can affect the propagation of electromagnetic signals. To predict the path loss of WSN signals and guide WSN node deployment and topology control, a multi-scale modeling approach is proposed for radio channels on wheat farmland. The environmental factors are extracted based on the relationship between crop growth and signal propagation path. According to different crop sheltering conditions, a logarithmic model and a statistical distribution model are adopted. An empirical model of multi-path channel fading is established and evaluated based on experimental data. The results show that the average correlation coefficient of the large-scale model is >0.95 under the non-sheltering conditions. On the other hand, the mean variation of the multi-scale probability distribution model is <0.1 under the sheltering conditions. The results indicate that an accurate description of multi-path radio channels on wheat farmland is achieved.

  • 相关文献

[1]A Farmland Wireless Sensor Network Optimization Topology Control Algorithm. Li, Feifei,Wu, Huarui,Miao, Yisheng,Zhu, Li,Wu, Huarui,Wu, Huarui,Yuan, Ling. 2014

[2]A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm. Zhang Ruirui,Du Shangfeng,Zhang Ruirui,Chen Liping,Xu Gang,Kan Jie. 2014

[3]The Propagation Characteristics of Radio Frequency Signals for Wireless Sensor Networks in Large-Scale Farmland. Wu, Huarui,Zhang, Lihong,Miao, Yisheng,Wu, Huarui,Zhang, Lihong,Miao, Yisheng,Wu, Huarui,Zhang, Lihong,Miao, Yisheng. 2017

[4]The Application of Wireless Sensor in Aquaculture Water Quality Monitoring. Ding, Wen,Ma, Yinchi. 2012

[5]Farmland WSN Incremental Deployment Strategy Based on Signal Attenuation Model. Liu, Dayong,Liu, Dayong,Zhao, Chunjiang,Wu, Huarui,Li, Feifei,Zhao, Chunjiang,Wu, Huarui,Li, Feifei. 2016

[6]Research on Building Technology of Aquaculture Water Quality Real-Time Monitoring Software Platform. Ma, Yinchi,Ding, Wen,Li, Wentong,Ma, Yinchi,Ding, Wen,Li, Wentong. 2015

[7]The Application of Wireless Sensor in Aquaculture Water Quality Monitoring. Wen Ding,Yinchi Ma. 2012

[8]A Farmland Wireless Sensor Network Optimization Topology Control Algorithm. Feifei Li,Huarui Wu,Ling Yuan,Yisheng Miao,Li ZHu. 2014

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台