Peatland forest monitoring and management solution in Peninsular Malaysia: optimal parameters for LoRa data
Peatland forest fires threaten biodiversity, ecosystems, and human health in Southeast Asia, especially during the dry season. Limited in-situ data collection necessitates Long Range (LoRa) sensor-based remote monitoring for its long-range communication, low power consumption, and cost-effectiveness...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ain Shams University
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121006/ http://psasir.upm.edu.my/id/eprint/121006/1/121006.pdf |
| Summary: | Peatland forest fires threaten biodiversity, ecosystems, and human health in Southeast Asia, especially during the dry season. Limited in-situ data collection necessitates Long Range (LoRa) sensor-based remote monitoring for its long-range communication, low power consumption, and cost-effectiveness. However, dense vegetation affects Low-Power Wide Area Network (LPWAN) signal propagation through scattering, reflection, and diffraction, impacting data transmission. This study investigates LoRa RF propagation in peatland environments through a measurement campaign at Raja Musa Forest Reserve (RMFR), Selangor. File transfer success rate (FT%) across various land-cover types was analyzed using six Data Rate (DR) and Spreading Factor (SF) configurations. Results show that DR5/SF7 and DR0/SF12 achieve over 80% FT% in moderate and dense vegetation, respectively. The findings enhance LoRa RF planning in challenging ecosystems, offering practical guidelines to improve data transmission reliability in RMFR and other peatlands. |
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