LoRa LPWAN propagation channel modelling in IIUM Campus
LoRa, one of the most outstanding low power wide area network (LPWAN) technology has unique and remarkable features. Because of its long-range coverage, low power consumption and low cost system architecture, LoraWAN has becoming a favorable option for performing communication in most of IoT wi...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/67958/7/67958%20LoRa%20LPWAN%20Propagation%20Channel%20Modelling%20in%20IIUM%20Campus.pdf http://irep.iium.edu.my/67958/13/67958_LoRa%20LPWAN%20propagation%20channel%20modelling%20in%20IIUM%20Campus_SCOPUS.pdf http://irep.iium.edu.my/67958/ https://ieeexplore.ieee.org/document/8539327 |
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| Summary: | LoRa, one of the most outstanding low power
wide area network (LPWAN) technology has unique and
remarkable features. Because of its long-range coverage, low
power consumption and low cost system architecture,
LoraWAN has becoming a favorable option for performing
communication in most of IoT wireless applications. This
project aimed at quantifying the foliage effect in terms of
attenuation and its overall contribution to the path-loss and
link budget calculations. Specifically, five tree types were
studied and their contribution to the path loss were quantified
for different path crossings (e.g., trunk, tree-top and branches).
The trees are Licuala Grandis, Mimusops Elengi, Mangifera
Indica, Cyrtostachys Renda and Livistona Chinensis.
Mimusops Elengi tree, characterized by its big size and crown
density, gave the strongest mean foliage attenuation
accumulating up to 20 dB. Trunks contribute even higher
attenuation in comparison to tree-tops and branches. The
Okumura/Hata, Log-normal shadowing and foliage models are
used as references for this propagation models development.
Our study showed that Okumura fails to capture the effect of
foliage in International Islamic University Malaysia, Gombak
campus that is rich in trees. This goes to illustrate the necessity
for considering the tropical environment where the
characterization of foliage attenuation plays an important role
in determining the propagation model path-loss and link
budget needed for LoRa network design and planning. |
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