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Random neural networks based cognitive controller for HVAC in non-domestic building using LoRa

机译：基于随机神经网络的非住宅建筑HVAC认知控制器

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摘要

The critical requirements for devices connected in Internet of Things (IoT) are long battery life, long coverage range, and low deployment cost. In our previous work, we developed cognitive controller for controlling the HVAC of non-domestic building using short range communication in an unlicensed spectrum (915 MHz). In this work, we have upgraded our cognitive controller with recently developed long range communication (LoRa) technology and compared it with short range RF communication in an indoor building. The comparison is made in terms of battery life, coverage range, control accuracy and memory size. The effect of changing the transmission power of LoRa on battery consumption of the sensor node is also evaluated. Results show that coverage range of LoRa is 60.4% more than short range communication inside a building.
机译：连接物联网（IoT）的设备的关键要求是电池寿命长，覆盖范围长和部署成本低。在我们以前的工作中，我们开发了一种认知控制器，用于在无执照频谱（915 MHz）中使用短距离通信来控制非住宅建筑的HVAC。在这项工作中，我们使用最新开发的远程通信（LoRa）技术对认知控制器进行了升级，并将其与室内建筑物中的短距离RF通信进行了比较。根据电池寿命，覆盖范围，控制精度和内存大小进行比较。还评估了改变LoRa的发射功率对传感器节点电池消耗的影响。结果表明，LoRa的覆盖范围比建筑物内的短距离通信大60.4％。

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