LoRaConnect：在偏远地区和自组织网络的LoRa骨干网上解锁HTTP潜力
LoRaConnect: Unlocking HTTP Potential on LoRa Backbones for Remote Areas and Ad-Hoc Networks
AI总结：
提出LoRaConnect系统，通过LoRaWeb硬件绑定WiFi热点并利用缓存、同步与消息切片机制，在LoRa骨干网上实现HTTP访问，实测在多场景下显著提升吞吐量与延迟性能。
摘要：
极低的基础设施要求使LoRa适合在偏远地区提供服务。此外，Web应用已成为现代服务交付的事实标准。然而，由于带宽有限、有效载荷大小受限以及多用户设置中的高冲突，Long Range (LoRa) 无法实现HTTP访问。我们提出LoRaConnect以在LoRa上实现HTTP访问。LoRaWeb硬件绑定一个WiFi热点，客户端设备连接到该热点并通过LoRa回传访问HTTP资源。它实现了缓存和同步机制以解决LoRa上述限制。它还在应用层实现消息切片方法以克服LoRa有效载荷限制。我们使用实际硬件在三种实验设置中评估所提出的系统，以评估基线性能、理想场景和使用跳频扩频(FHSS)的实际应用场景。此外，它实现了ping操作以展示互联网能力和可扩展性。LoRaWeb在基线设置中实现约1.18 KB/S的平均吞吐量，对1.5KB网页的访问延迟仅约1.3 S。此外，在理想情况下对10KB网页实现约6.7 S的访问延迟，在基于FHSS的设置中平均端到端延迟仅约612 ms。与基准的比较表明有多方面的改进。
英文摘要：
Minimal infrastructure requirements make LoRa suitable for service delivery in remote areas. Additionally, web applications have become a de-facto standard for modern service delivery. However, Long Range (LoRa) fails to enable HTTP access due to its limited bandwidth, payload size limitations, and high collisions in multi-user setups. We propose LoRaConnect to enable HTTP access over LoRa. The LoRaWeb hardware tethers a WiFi hotspot to which client devices connect and access HTTP resources over LoRa backhaul. It implements caching and synchronization mechanisms to address LoRa's aforementioned limitations. It also implements a message-slicing method in the application layer to overcome LoRa's payload limitations. We evaluate the proposed system using actual hardware in three experimental setups to assess the baseline performance, ideal scenario, and practical application scenario with Frequency Hopping Spread Spectrum (FHSS). Additionally, it implements a ping operation to demonstrate Internet capability and extensible nature. LoRaWeb achieves an average throughput of 1.18 KB/S approximately, with an access delay of only 1.3 S approximately for a 1.5KB webpage in the baseline setup. Moreover, it achieves an access delay of approximately 6.7 S for a 10KB webpage in the ideal case and an average end-to-end delay of only 612 ms approximately in the FHSS-based setup. Comparison with benchmark suggests multi-fold improvement.
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