Long Range Radio Technology Implementation on Internet of Things to Detect Particulate Matter at the Community Level and Prediction using Machine Learning Based Approach

P.Lavanya1,2

I. V. Subba Reddy1,Email

V. Selvakumar2

1Department of Physics, GITAM (Deemed to be University) Hyderabad, Telangana, 502329, India.
2Bhavan's Vivekananda College of Science, Humanities & Commerce, Hyderabad, Telangana, 500094, India.

Abstract

An essential element of smart cities involves augmenting the awareness of key stakeholders and the broader populace concerning air pollution. Currently, numerous air quality monitoring systems are commercially available in the market. However, due to their high cost and limited accessibility, they are not frequently utilized by the public. This research presents a low-cost, integrated LoRa-based wireless sensor network to monitor the air quality and predict future air quality index using Long Short Term Memory (LSTM) and Artificial Intelligence (AI) techniques. The suggested system has an indoor and outdoor node administrated by the LoRa (Long Rage) network. The indoor sensor node receives information about the air quality, dust concentration, humidity, temperature, and particulate matter through the LoRa network. The nodes' data is sent via full-duplex LoRa modules built with free real-time operating system (RTOS). The indoor node is a master node where multiple outdoor nodes integrated with many sensors can be placed at different places in a community to sense various air quality parameters. Utilizing The Things Network and Adafruit IO as the IoT platform, we have developed a cloud-based data management and analysis tool. The system is designed to operate efficiently with outdoor sensor nodes placed at optimal distances of 4 km from interior master nodes. This configuration enables the system to achieve a coverage area of 8 km, ensuring effective data transmission and analysis. Additionally, the study highlights the most effective machine learning technologies to forecast the Air Quality Index.

Long Range Radio Technology Implementation on Internet of Things to Detect Particulate Matter at the Community Level and Prediction using Machine Learning Based Approach