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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68341
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Eletronics & Telecommunacation
Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

Eletronics & Telecommunacation
Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

Eletronics & Telecommunacation
Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

Eletronics & Telecommunacation
Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)

Eletronics & Telecommunacation
Bhivrabai Sawant Polytechnic, Wagholi, Pune (JSPM)
Air pollution represents one of the most urgent threats to global health, environmental stability, and urban liveability. Traditional regulatory air quality monitoring networks (AQMNs) rely on stationary reference instruments that deliver high accuracy but suffer from extreme capital costs, large physical footprints, and sparse spatial density. This paper presents a systematic review of modern, decentralized Air Pollution Monitoring Systems (APMS). We analyze the end-to-end architecture: from solid-state and optical hardware sensors, low-power microcontrollers, and wireless communications. (LoRaWAN, NB-IoT, 5G), to cloud-native microservices, spatial interpolation, and deep learning AQI forecasting. Furthermore, three structural system diagrams are integrated to illustrate hardware sensor node assembly, cloud pipeline orchestration, and mobile application user workflows.
KEYWORDS
The Air Pollution Monitoring System is designed to monitor air quality using sensors. It measures selected air pollution parameters such as particulate matter and gas-related readings. The microcontroller collects and processes data from the sensors.
[1] World Health Organization (WHO), Air Pollution. Available at: https://www.who.int/health-topics/air-pollution [2] Central Pollution Control Board (CPCB), Government of India, National Air Quality Index. Available at: https://cpcb.nic.in/ [3] Espressif Systems, ESP32 Series Datasheets and Technical Documentation. Available at: https://www.espressif.com/ [4] Arduino, Arduino Documentation and Programming Reference. Available at: https://docs.arduino.cc/ [5] Plantower, PMS5003 Particulate Matter Sensor Documentation. Refer to the manufacturer's documentation for sensor specifications and operating principles. [6] Winsen Electronics, MQ-135 Gas Sensor Technical Documentation. Refer to the manufacturer's datasheet for sensor characteristics and operating requirements. [7] Aosong Electronics, DHT11 Temperature and Humidity Sensor Documentation. Refer to the manufacturer's technical documentation.
Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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