An Energy Efficient LoRa-based Multi-Sensor IoT Network for Smart Sensor Agriculture System
An Energy Efficient LoRa-based Multi-Sensor IoT Network for Smart Sensor Agriculture System
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DOI：
10.1109/wisnet56959.2023.10046242
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发表时间：
2023-01
期刊：
影响因子：
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通讯作者：
Shivakant Mishra;S. Nayak;Ramnarayan Yadav
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文献类型：
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作者：
Shivakant Mishra;S. Nayak;Ramnarayan Yadav
随着物联网（IoT）的发展和应用，智慧农业正在迅速发展。基于物联网的智能解决方案不仅可以帮助农民实现利润最大化，还可以帮助他们减少对农田的人工监管。在智慧农业系统中，价格低廉、资源受限的传感器被安装在农作物附近以及农田的一些关键位置，以实时收集相关的农作物和环境数据。然后，这些数据被用于关键的、对延迟敏感的决策以及长期规划。构建智慧农业系统的关键挑战包括在云端计算所产生的高通信延迟和带宽消耗、农村地区频繁的互联网中断，以及需要为终端用户（农民）保持较低的总成本。在本文中，我们讨论了我们正在进行的基于LoRa的三层智慧农业系统的设计和实现，该系统由（i）感知层，（ii）雾层和（iii）云层组成。特别是，我们关注如何利用LoRa的低功耗、低带宽和远距离特性将印度农村地区的传统农田转变为智慧农业系统。我们展示了我们当前原型的性能，并在成本、延迟和距离方面与现有的智慧农业系统的先进框架进行了比较。
With the advancement and usage of Internet of Things (IoT), smart agriculture is evolving rapidly. Smart solutions based on IoT can not only help the farmers in maximizing the profits but also help them in reducing the manual supervision of agriculture land. In a smart agriculture system, inexpensive, resource-constrained sensors are installed near the crops as well as at some strategic locations in an agriculture field to collect relevant crop and environment data in real time. This data is then used for both critical, latency-sensitive decision making as well as long-term planning. The key challenges in building a smart agriculture system include high communication latency and bandwidth consumption incurred with computing on the cloud, frequent Internet disconnections in rural areas, and a need for keeping the overall cost low for the end users (farmers). In this paper, we discuss the design and implementation of our on-going, LoRa-based three-tier smart agriculture system comprised of (i) Sensing layer, (ii) Fog layer, and (iii) Cloud layer. In particular, we focus on the how the low-power, low-bandwidth and long-range features of LoRa are utilized to transform traditional agriculture land of rural areas in India into smart agriculture system. We present the performance of our current prototype and compare with the existing, state-of-the-arts framework for smart agriculture system in terms of cost, latency and distance.