TY - GEN
T1 - Evaluation of lorawan transmission range for wireless sensor networks in riparian forests
AU - Avila-Campos, Pablo
AU - Astudillo-Salinas, Fabian
AU - Vazquez-Rodas, Andres
AU - Araujo, Alcides
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - Low power wide area networks (LPWAN) such as long range wide area networks (LoRaWAN), provide several advantages on monitoring systems development in forested environments due to its simple set-up, low cost, low power consumption, and wide coverage. Regarding the coverage area, the transmission in forested environments can be highly attenuated by foliage and must be defined to optimize the number of nodes. This paper discusses an empirical study of LoRa with LoRaWAN transmission range in riparian forests, based on path-loss modeling, using both received signal strength indicator (RSSI) and signal-to-noise-ratio (SNR). The measurements have been conducted in the riparian forest of three local rivers at urban, semi-urban, and rural environments located in the city of Cuenca, Ecuador. The measurement results found that there is a significant distribution difference among measurement places, a high correlation between two banks of the same river, a higher standard deviation in urban measurements and a larger coverage in rural areas.
AB - Low power wide area networks (LPWAN) such as long range wide area networks (LoRaWAN), provide several advantages on monitoring systems development in forested environments due to its simple set-up, low cost, low power consumption, and wide coverage. Regarding the coverage area, the transmission in forested environments can be highly attenuated by foliage and must be defined to optimize the number of nodes. This paper discusses an empirical study of LoRa with LoRaWAN transmission range in riparian forests, based on path-loss modeling, using both received signal strength indicator (RSSI) and signal-to-noise-ratio (SNR). The measurements have been conducted in the riparian forest of three local rivers at urban, semi-urban, and rural environments located in the city of Cuenca, Ecuador. The measurement results found that there is a significant distribution difference among measurement places, a high correlation between two banks of the same river, a higher standard deviation in urban measurements and a larger coverage in rural areas.
KW - Forested
KW - IoT
KW - LoRa
KW - LoRaWAN
KW - Model
KW - Path loss
KW - Propagation
KW - RSSI
KW - Riparian
KW - Riverside
KW - SNR
UR - https://publicaciones.ucuenca.edu.ec/ojs/index.php/revpos/article/view/3806
U2 - 10.1145/3345768.3355934
DO - 10.1145/3345768.3355934
M3 - Contribución a la conferencia
AN - SCOPUS:85077338636
T3 - MSWiM 2019 - Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
SP - 199
EP - 206
BT - MSWiM 2019 - Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PB - Association for Computing Machinery, Inc
T2 - 22nd ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2019
Y2 - 25 November 2019 through 29 November 2019
ER -