Indoor LoRa-Enabled Air Quality Monitoring system

LoRa (short for Long Range) is a form of long range radio communication that incorporates the use of spread spectrum modulation technique, which, itself, is derived from chirp spread spectrum (CSS) technology. Its main advantages include broader coverage and lower power consumption compared to other methods of wireless telecommunication such as Wi-Fi and Bluetooth. This makes LoRa an ideal choice for the interaction between IoT edge devices and the sensors and actuators in the perception layer. In this project, our team aims to build a system for monitoring the air quality of an indoor environment using measurement units that are equipped with several air quality sensors (e.g., Oxygen, dust, CO2, temperature and humidity). The data collected by the sensors would be transmitted to IoT edge devices via LoRa, and to the Cloud via internet messaging and machine-to-machine communication protocols (e.g., MQTT, CoAP, and HTTP), with the ultimate goal of taking further actions on the acquired data by utilizing the computational power of IoT edge devices and the Cloud resources.

Our Talented Team Members

Evelyn Hui Kai Soon
Haoming (Peter) He
Shihang (Ruby) Ruan
Shuyan (Shelly) Han

Our Distinguished Supervisors and Administrator

Prof. Alberto Leon-Garcia
Prof. Milan Graovac
Dr. Morteza Moghaddassian