Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56607
Title: RF Loss Through Eucalyptus Vegetation with Varying Water Content – Modelling and Experiment
Contributor(s): Peden, Sonam  (author)orcid ; Lamb, David  (supervisor)orcid ; Bradbury, Ronald  (supervisor)orcid ; Hedley, Mark (supervisor)
Conferred Date: 2022-04-05
Copyright Date: 2021
Handle Link: https://hdl.handle.net/1959.11/56607
Related Research Outputs: https://hdl.handle.net/1959.11/62689
Abstract: 

The interaction between radio waves and vegetation has been extensively studied for efficient wireless network planning. Both empirical and analytical models have been developed for this purpose. However, radio transmission within a wireless sensor network could be used for sensing the medium in the signal path in addition to data transmission within the network. Prior work suggested that radio waves interact strongly with water contained in vegetation. The dependence of radio waves on water is through its dielectric constant. In this thesis, the relationship between RF loss and water content in vegetation in the path of a radio communications link was modelled to study the feasibility of monitoring plant health using wireless communication networks.

A model to calculate the RF loss through packed vegetation with different moisture content was developed. This model only considers the dielectric constant of the vegetation and does not include the air component of the tree canopy. The model was further extended to calculate RF loss through tree canopies. Both the models were verified against experimental measurements acquired using Eucalyptus leaves and trees. The results show that there is a positive non-linear relationship between RF loss in dB and water content expressed as effective water path (EWP) in mm. Vegetation thickness is also a factor in RF loss, however the contribution was minor compared to water content of vegetation. This work has quantified the relationship between RF loss and water within vegetation. It may lead to wireless sensor networks being repurposed to monitor, over periods of many years, changes in plant water status.

Publication Type: Thesis Doctoral
Fields of Research (FoR) 2020: 300710 Tree nutrition and physiology
400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)
400913 Radio frequency engineering
Socio-Economic Objective (SEO) 2008: 861699 Computer Hardware and Electronic Equipment not elsewhere classified
861701 Network Infrastructure Equipment
960505 Ecosystem Assessment and Management of Forest and Woodlands Environments
HERDC Category Description: T2 Thesis - Doctorate by Research
Description: Please contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.
Appears in Collections:School of Science and Technology
Thesis Doctoral

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