用静态方法选最佳扩频因子，让低成本移动网关通信更可靠
Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
- 分两阶段筛选：先排除不合规的扩频因子，再按时长、能耗等打分
- 在672种场景中92%匹配最优扩频因子，效果接近动态配置
- 适合农业、农村等对成本敏感的物联网部署场景
使用低成本单通道硬件部署移动式LoRa网关时，因缺乏动态配置能力，难以保障通信可靠性。传统LoRaWAN网络中的自适应数据速率（ADR）机制虽可实时优化参数，但通常仅支持昂贵的多通道网关。本文提出一种低成本、低功耗的解决方案：通过两阶段算法静态选择最优扩频因子（SF）。第一阶段基于规则剔除违反距离、数据率、链路余量及法规限制的SF；第二阶段采用加权评分模型，综合考虑时长（Time-on-Air）、能耗、数据率与链路鲁棒性评估剩余候选。通过大量实地测试与NS-3仿真（视距条件）验证，所选SF在672个模拟场景中超过92%情况下匹配最优解，证明该方法有效。该方案为成本敏感环境下的移动LoRa部署提供了可扩展替代方案，适用于农业与农村传感等场景。
原文摘要 · Abstract (English)
The deployment of mobile LoRa gateways using low-cost single-channel hardware presents a significant challenge in maintaining reliable communication due to the lack of dynamic configuration support. In traditional LoRaWAN networks, Adaptive Data Rate (ADR) mechanisms optimize communication parameters in real time. However, such features are typically supported only by expensive multi-channel gateways. This study proposes a cost-effective and energy-efficient solution by statically selecting the optimal Spreading Factor (SF) using a two-phase algorithm. The method first applies rule-based exclusion to eliminate SFs that violate constraints related to distance, data rate, link margin, and regulatory limits. Remaining candidates are then evaluated using a weighted scoring model incorporating Time-on-Air, energy consumption, data rate, and link robustness. The proposed algorithm was validated through extensive field tests and NS-3 simulations under line-of-sight conditions. Results demonstrate that the selected SF matched the optimal SF in over 92% of cases across 672 simulated scenarios, confirming the algorithm's effectiveness. This approach offers a scalable alternative to dynamic protocols, enabling reliable mobile LoRa deployments in cost-sensitive environments such as agriculture and rural sensing applications.
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