IOT Based: Air Quality Monitoring System

Airpollutionhasemergedasacriticalglobalconcern,posing seriousthreatsto humanhealth, climate stability and ecological balance. Conventional air quality monitoring stations are often expensive, stationary, andlimitedincoverage, restricting theirabilitytoprovidereal-timelocalizeddata.Toaddressthis challenge, this study presents the design and development of an Internet of Things (IoT)-based Air Quality Monitoring System utilizing low-cost sensors and wireless communication. The proposed system employs the MQ135 sensor to detect harmful gases, such as carbon dioxide, ammonia, and nitrogen oxides, whereas the DHT11 sensor is used to monitor ambient temperature and humidity levels. The collected data were processed usingan ESP8266microcontroller,whichenabledreal-timewirelesstransmissionandvisualizationonanLCD display through an I2C interface. The modular design ensures portability, scalability, and energy efficiency, making it suitable for smart-city applications. The experimental results demonstrate the feasibility of the proposedsystemindeliveringaccurate andtimely airquality dataatasignificantly reducedcostcomparedwith traditional monitoring infrastructure. This study contributes to the advancement of low-cost environmentalmonitoringsolutions,enablingimprovedpublicawarenessanddata-drivendecisionmakingforpollution control.

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-09-12
DOI
https://doi.org/10.22214/ijraset.2025.74165
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IOT Based: Air Quality Monitoring System

International Journal for Research in Applied Science and Engineering Technology
Geochemistry and Geologic Mapping
article

IOT Based: Air Quality Monitoring System

article en

Abstract

Airpollutionhasemergedasacriticalglobalconcern,posing seriousthreatsto humanhealth, climate stability and ecological balance. Conventional air quality monitoring stations are often expensive, stationary, andlimitedincoverage, restricting theirabilitytoprovidereal-timelocalizeddata.Toaddressthis challenge, this study presents the design and development of an Internet of Things (IoT)-based Air Quality Monitoring System utilizing low-cost sensors and wireless communication. The proposed system employs the MQ135 sensor to detect harmful gases, such as carbon dioxide, ammonia, and nitrogen oxides, whereas the DHT11 sensor is used to monitor ambient temperature and humidity levels. The collected data were processed usingan ESP8266microcontroller,whichenabledreal-timewirelesstransmissionandvisualizationonanLCD display through an I2C interface. The modular design ensures portability, scalability, and energy efficiency, making it suitable for smart-city applications. The experimental results demonstrate the feasibility of the proposedsystemindeliveringaccurate andtimely airquality dataatasignificantly reducedcostcomparedwith traditional monitoring infrastructure. This study contributes to the advancement of low-cost environmentalmonitoringsolutions,enablingimprovedpublicawarenessanddata-drivendecisionmakingforpollution control.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(9)
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IOT Based: Air Quality Monitoring System · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS