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Development of wireless sensor network technology for soil property monitoring.

机译：用于土壤性质监测的无线传感器网络技术的发展。

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摘要

Scope and method of study. In the first part of this thesis, we designed and developed a soil property monitoring system with two generation evolutions. Soil property parameter data including soil moisture, soil electrical conductivity and near-surface soil temperature were collected from using two kinds of sensors embedded in four different depths as 50.8, 152.4, 304.8 and 609.6mm underground. A hybrid sensor network (HSN) conceptual system module including in-field wireless sensor network, cellular network and the Internet was put forward and realized for transmitting in-field data to the lab infrastructure. In the second part of this thesis, outdoor as well as off-line laboratory statistical experiments were carried out for analyzing impacts of impact factors as plant height, antenna gain, transmitter & receiver height, and separation distance to in-field radio propagation and modeling radio wave path loss to make the communication performance predictable. The experiments were divided into three blocks by two plant heights as 0.05m and 0.4m. Three widely used path loss models as COST-Hata, free space and plane earth models were included for verifying their applicability for in-field scenarios. Multi-variable linear regression was applied for relating the path loss to the impact factors.;Findings and conclusions. Results from the first part of the thesis indicated that wireless sensor network technologies had considerable advantages in field data collection and transmission over the traditional invasive methods. System quality of service testing results as: the average packet delivery rate and in-field data error rate were 95.05% and 0% until day of test while the averaged valid data rate was above 97% in general for each node. Results from the second part of the thesis indicated that the blocking criteria selection was proper and the Fresnel clearance dominated the in-field radio wave attenuation while the influence of reflection patterns was non-ignorable. R2 for the four regressed path loss prediction model was 0.822, 0.810, 0.843, and 0.899, respectively. By comparing measured path loss to predicted ones using general and regressed models, COST-Hata model yielded the highest difference, free space model yielded the second highest difference, and specific regressed models generated the least difference in most cases. A threshold of 70m was obtained for reliable communication in the worst cases of our experimental scenarios.
机译：研究范围和方法。在本文的第一部分，我们设计并开发了具有两代进化的土壤特性监测系统。使用嵌入在地下50.8、152.4、304.8和609.6mm四个不同深度的两种传感器收集包括土壤水分，土壤电导率和近地表土壤温度在内的土壤属性参数数据。提出并实现了一种混合传感器网络（HSN）概念系统模块，该模块包括现场无线传感器网络，蜂窝网络和Internet，用于将现场数据传输到实验室基础架构。在论文的第二部分，进行了室外和离线实验室统计实验，以分析影响因素的影响，例如工厂高度，天线增益，发射器和接收器高度以及分离距离对现场无线电传播和建模的影响无线电波路径损耗使通信性能可预测。将实验分为两个植物高度为0.05m和0.4m的三个部分。包括三种广泛使用的路径损耗模型，例如COST-Hata，自由空间和平面地球模型，以验证其在现场场景中的适用性。应用多变量线性回归将路径损耗与影响因素联系起来。结果与结论。论文第一部分的结果表明，无线传感器网络技术在现场数据收集和传输方面比传统的入侵方法具有明显的优势。系统服务质量测试结果为：到测试日为止，平均数据包传递率和现场数据错误率分别为95.05％和0％，而每个节点的平均有效数据率通常都高于97％。论文第二部分的结果表明，阻塞准则的选择是正确的，菲涅耳间隙主导了场内无线电波的衰减，而反射模式的影响是不可忽略的。四个回归路径损耗预测模型的R2分别为0.822、0.810、0.843和0.899。通过使用常规模型和回归模型将测得的路径损耗与预测路径损耗进行比较，COST-Hata模型产生的差异最大，自由空间模型产生的差异最大，而特定的回归模型产生的差异最小。在我们的实验方案的最坏情况下，获得了70m的阈值以进行可靠的通信。

著录项

  • 作者

    Li, Zhen.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Agriculture Soil Science.;Engineering Agricultural.;Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2009
  • 页码 158 p.
  • 总页数 158
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土壤学;农业工程;无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:38:30

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