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...

Full description

Bibliographic Details
Main Authors: Masadan, Nurul Afifah, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2018
Subjects:
Online Access:http://irep.iium.edu.my/67958/
http://irep.iium.edu.my/67958/
http://irep.iium.edu.my/67958/
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
id iium-67958
recordtype eprints
spelling iium-679582019-02-13T10:58:18Z http://irep.iium.edu.my/67958/ LoRa LPWAN propagation channel modelling in IIUM Campus Masadan, Nurul Afifah Habaebi, Mohamed Hadi Yusoff, Siti Hajar TK Electrical engineering. Electronics Nuclear engineering TK5101 Telecommunication. Including telegraphy, radio, radar, television 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. IEEE 2018-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67958/7/67958%20LoRa%20LPWAN%20Propagation%20Channel%20Modelling%20in%20IIUM%20Campus.pdf application/pdf en http://irep.iium.edu.my/67958/13/67958_LoRa%20LPWAN%20propagation%20channel%20modelling%20in%20IIUM%20Campus_SCOPUS.pdf Masadan, Nurul Afifah and Habaebi, Mohamed Hadi and Yusoff, Siti Hajar (2018) LoRa LPWAN propagation channel modelling in IIUM Campus. In: 2018 7th International Conference on Computer Communication Engineering (ICCCE2018), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539327 10.1109/ICCCE.2018.8539327
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK5101 Telecommunication. Including telegraphy, radio, radar, television
Masadan, Nurul Afifah
Habaebi, Mohamed Hadi
Yusoff, Siti Hajar
LoRa LPWAN propagation channel modelling in IIUM Campus
description 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.
format Conference or Workshop Item
author Masadan, Nurul Afifah
Habaebi, Mohamed Hadi
Yusoff, Siti Hajar
author_facet Masadan, Nurul Afifah
Habaebi, Mohamed Hadi
Yusoff, Siti Hajar
author_sort Masadan, Nurul Afifah
title LoRa LPWAN propagation channel modelling in IIUM Campus
title_short LoRa LPWAN propagation channel modelling in IIUM Campus
title_full LoRa LPWAN propagation channel modelling in IIUM Campus
title_fullStr LoRa LPWAN propagation channel modelling in IIUM Campus
title_full_unstemmed LoRa LPWAN propagation channel modelling in IIUM Campus
title_sort lora lpwan propagation channel modelling in iium campus
publisher IEEE
publishDate 2018
url http://irep.iium.edu.my/67958/
http://irep.iium.edu.my/67958/
http://irep.iium.edu.my/67958/
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
first_indexed 2023-09-18T21:36:29Z
last_indexed 2023-09-18T21:36:29Z
_version_ 1777412855124983808