马来西亚半岛泥炭地森林监测和管理解决方案：LoRa数据的最佳参数

IF 6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2025-04-04 DOI:10.1016/j.asej.2025.103374

Nur Luqman Saleh , Aduwati Sali , Liew Jiun Terng , Sharifah Mumtazah Syed Ahmad Abdul Rahman , Azizi Mohd Ali , Borhanuddin Mohd Ali , Sheriza Mohd Razali , Ahmad Ainuddin Nuruddin , Nordin Ramli

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引用次数: 0

摘要

泥炭地森林火灾威胁着东南亚的生物多样性、生态系统和人类健康，特别是在旱季。有限的现场数据收集需要基于远程（LoRa）传感器的远程监控，以实现远程通信、低功耗和成本效益。然而，茂密的植被通过散射、反射和衍射等方式影响低功率广域网（Low-Power Wide Area Network， LPWAN）信号的传播，影响数据的传输。本研究通过在雪兰莪州拉贾穆萨森林保护区（RMFR）的测量活动，调查了LoRa RF在泥炭地环境中的传播。采用六种数据速率（DR）和扩散因子（SF）配置分析了不同土地覆盖类型的文件传输成功率（FT%）。结果表明，DR5/SF7和DR0/SF12在中等植被和茂密植被中分别达到80%以上的FT%。这些发现增强了具有挑战性的生态系统中的LoRa射频规划，为提高RMFR和其他泥炭地的数据传输可靠性提供了实用指南。

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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. 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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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.