TY - JOUR
T1 - Characterising foliage influence on LoRaWAN pathloss in a tropical vegetative environment
AU - Ansah, Margaret Richardson
AU - Sowah, Robert A.
AU - Melià-Seguí, Joan
AU - Katsriku, Ferdinand A.
AU - Vilajosana, Xavier
AU - Banahene, Wiafe Owusu
N1 - Publisher Copyright:
© 2020 Institution of Engineering and Technology. All rights reserved.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Ubiquitous computing for remote monitoring is enabling the Internet of Things applications in diverse areas. The potential impact of wireless sensor networks in remote habitat and agricultural monitoring cannot be overemphasised. LoRa (long range) is particularly well suited to applications requiring low operational costs, long-range wireless communication technology, low data rates and low power consumption. For industrial and large-scale deployment of this promising technology, it must be both empirically and theoretically evaluated and proven. For network design purposes and optimised positioning of devices, the authors evaluated long range wireless area network (LoRaWAN) propagation in a tropical vegetative environment. Traditional vegetation propagation models have been compared with the measured data. The free space model best fits their data except for the tree canopy area where the loss was about 56 dB. The result can be used as empirical bases to develop an accurate model and simulation tool for LoRaWAN deployment planning.
AB - Ubiquitous computing for remote monitoring is enabling the Internet of Things applications in diverse areas. The potential impact of wireless sensor networks in remote habitat and agricultural monitoring cannot be overemphasised. LoRa (long range) is particularly well suited to applications requiring low operational costs, long-range wireless communication technology, low data rates and low power consumption. For industrial and large-scale deployment of this promising technology, it must be both empirically and theoretically evaluated and proven. For network design purposes and optimised positioning of devices, the authors evaluated long range wireless area network (LoRaWAN) propagation in a tropical vegetative environment. Traditional vegetation propagation models have been compared with the measured data. The free space model best fits their data except for the tree canopy area where the loss was about 56 dB. The result can be used as empirical bases to develop an accurate model and simulation tool for LoRaWAN deployment planning.
UR - http://www.scopus.com/inward/record.url?scp=85091276752&partnerID=8YFLogxK
U2 - 10.1049/iet-wss.2019.0201
DO - 10.1049/iet-wss.2019.0201
M3 - Review article
AN - SCOPUS:85091276752
SN - 2043-6386
VL - 10
SP - 181
EP - 197
JO - IET Wireless Sensor Systems
JF - IET Wireless Sensor Systems
IS - 5
ER -