Framework for implementing air quality monitoring system using LPWA-based IoT technique

Paithankar, Deepak Narayan; Pabale, Abhijeet Rajendra; Kolhe, Rushikesh Vilas; William, P.; Yawalkar, Prashant Madhukar

doi:10.1016/j.measen.2023.100709

Cited by 49 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its high dynamic range and affordability empower individuals to monitor air quality for better health decisions. Paithankar et al introduced an innovative air quality monitoring system using IoT technology to provide real-time, cost-effective, and precise data, addressing concerns from industrial and transportation activities [138]. The system combines portable sensors, a lowpower wide area network, and IoT for data analysis, demonstrating accuracy in air quality monitoring and pattern recognition, and contributing to urban air quality management.…”

Section: G Astronomical Object Detectionmentioning

confidence: 99%

Synchronizing Object Detection: Applications, Advancements and Existing Challenges

Tanzib Hosain,

Zaman,

Abir

et al. 2024

IEEE Access

View full text Add to dashboard Cite

From pivotal roles in autonomous vehicles, healthcare diagnostics, and surveillance systems to seamlessly integrating with augmented reality, object detection algorithms stand as the cornerstone in unraveling the complexities of the visual world. Tracing the trajectory from conventional region-based methods to the latest neural network architectures reveals a technological renaissance where algorithms metamorphose into digital artisans. However, this journey is not without hurdles, prompting researchers to grapple with real-time detection, robustness in varied environments, and interpretability amidst the intricacies of deep learning. The allure of addressing issues such as occlusions, scale variations, and finegrained categorization propels exploration into uncharted territories, beckoning the scholarly community to contribute to an ongoing saga of innovation and discovery. This research offers a comprehensive panorama, encapsulating the applications reshaping our digital reality, the advancements pushing the boundaries of perception, and the open issues extending an invitation to the next generation of visionaries to explore uncharted frontiers within object detection.

show abstract

Section: G Astronomical Object Detectionmentioning

confidence: 99%

Synchronizing Object Detection: Applications, Advancements and Existing Challenges

Tanzib Hosain,

Zaman,

Abir

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In literature, many IoT-based monitoring systems use micro-sensors for data gathering [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. It should be mentioned that there are studies that propose a system for both internal and external air pollution, e.g., [ 9 ].…”

Section: Related Workmentioning

confidence: 99%

“…Most studies focus only on one type of air pollution: indoor [ 10 , 11 , 12 ] or outdoor [ 13 , 14 , 15 , 16 , 17 ]. One of the examples of the former can be found in [ 10 ].…”

Section: Related Workmentioning

confidence: 99%

“…The sensing system operates an MQ2 gas sensor for counting

concentration and a GP2Y1010AU0F visual detector for

and

concentrations. Another air quality monitoring system employing IoT methods for outdoor air pollution is proposed in [ 16 ]. The authors used a low-power vast space network to transmit the real-time data collected by portable particle matter, humidity and temperature sensors.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An IoT System for Air Pollution Monitoring with Safe Data Transmission

Bobulski,

Szymoniak,

Pasternak

2024

Sensors

View full text Add to dashboard Cite

Air pollution has become a global issue due to rapid urbanization and industrialization. Bad air quality is Europe’s most significant environmental health risk, causing serious health problems. External air pollution is not the only issue; internal air pollution is just as severe and can also lead to adverse health outcomes. IoT is a practical approach for monitoring and publishing real-time air quality information. Numerous IoT-based air quality monitoring systems have been proposed using micro-sensors for data collection. These systems are designed for outdoor air quality monitoring. They use sensors to measure air quality parameters such as CO2, CO, PM10, NO2, temperature, and humidity. The data are acquired with a set of sensors placed on an electric car. They are then sent to the server. Users can subscribe to the list and receive information about local pollution. This system allows real-time localized air quality monitoring and sending data to customers. The work additionally presents a secure data transmission protocol ensuring system security. This protocol provides system-wide attack resiliency and interception, which is what existing solutions do not offer.

show abstract

“…The real-time monitoring and forecasting of air quality is an essential and challenging endeavor to make informed decisions [ 25 , 26 ]. Most studies focus on the deployment and application of air quality sensors and IoT for monitoring air quality in cities [ [27] , [28] , [29] , [30] ]. Besides, air quality sensors, new technologies have also surfaced and proved effective in removing gaseous pollutants from the local environment [ [31] , [32] , [33] ].…”

Section: Introductionmentioning

confidence: 99%

A GIS-based approach to determining optimal location for decentralized inner city smart filters: Toward net zero cities

Alshuwaikhat,

Basheer,

AlAtiq

2024

Heliyon

View full text Add to dashboard Cite

Framework for implementing air quality monitoring system using LPWA-based IoT technique

Cited by 49 publications

References 10 publications

Synchronizing Object Detection: Applications, Advancements and Existing Challenges

Synchronizing Object Detection: Applications, Advancements and Existing Challenges

An IoT System for Air Pollution Monitoring with Safe Data Transmission

A GIS-based approach to determining optimal location for decentralized inner city smart filters: Toward net zero cities

Contact Info

Product

Resources

About