Path Loss Results for Wireless Sensor Network Deployment in a Long Grass Environment

Abdulaziz S. Alsayyari, A. Aldosary
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引用次数: 5

Abstract

In this paper, a full set of radio frequency (RF) propagation measurements is provided for wireless sensor nodes deployed in a long grass environment. The measurements were made to evaluate signal attenuation in open space environments where long grasses are present. Empirical RF models are often derived from such measurements, which for the case of this paper has already been presented in previous work. In this paper, however, more details on model derivation are provided as well as the variations of received signal strength (RSS) for eight different distances. In addition, the empirical path loss model of the investigated environment is compared with models previously presented in other outdoor environments. These environments are sand terrain, concrete terrain, dense tree, sparse tree, and artificial turf. Comparing these different environments together shows major differences in the prediction of path loss values, path loss exponent (PLE), and variation elements. Furthermore, the empirical model is compared with popular theoretical models (i.e., free space path loss and two ray path loss). The comparison results show an inaccuracy of RSS values predicted by these theoretical models for WSN deployment in long grass environments.
长草环境下无线传感器网络部署的路径损耗结果
本文为部署在长草环境中的无线传感器节点提供了一套完整的射频(RF)传播测量。测量是为了评估长草存在的开放空间环境中的信号衰减。经验射频模型通常是从这样的测量中得出的,这在本文的情况下已经在以前的工作中提出了。然而,本文提供了更多关于模型推导的细节以及8种不同距离下接收信号强度(RSS)的变化。此外,将研究环境的经验路径损失模型与其他室外环境的经验路径损失模型进行了比较。这些环境有沙质地形、混凝土地形、茂密树木、稀疏树木和人造草坪。将这些不同的环境放在一起比较,可以发现路径损耗值、路径损耗指数(PLE)和变化元素的预测存在重大差异。此外,还将经验模型与流行的理论模型(即自由空间路径损失和双射线路径损失)进行了比较。对比结果表明,这些理论模型预测的RSS值在长草环境下部署时存在不准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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