Abstract
The critical requirements for devices connected to the Internet of Things (IoT) are long battery life, long coverage range, and low deployment cost. In this work, we developed a machine learning based smart controller for the HVAC of commercial building using LoRa and compared it with short range RF communication in an indoor setting. The comparison was made in terms of battery life, coverage range and memory size. The effect of changing the transmission power of LoRa on battery consumption of the sensor node was also evaluated. Results show that coverage range of LoRa was 60.4% more than short range communication inside a building. The smart controller was capable of identifying when the room was unoccupied and turning off the HVAC which reduced the energy consumption up to 19.8%.
| Original language | English |
|---|---|
| Pages (from-to) | 30-38 |
| Number of pages | 9 |
| Journal | IT Professional |
| Volume | 20 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 25 Oct 2018 |
Keywords
- energy consumption
- commercial building
- IoT
- Internet of Things
- HVAC
Documents and Links
- Javed, A. et al (2018) Improving Energy Consumption of a Commercial Building with IoT and Machine Learning
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