The Implementation of an Edge Computing Architecture with LoRaWAN for Air Quality Monitoring Applications

2020 ◽  
pp. 210-219
Author(s):  
Endah Kristiani ◽  
Chao-Tung Yang ◽  
Chin-Yin Huang ◽  
Po-Cheng Ko
Keyword(s):  
Air Quality ◽  
Edge Computing ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Computing Architecture ◽  
Monitoring Applications

Performance Analysis of LoRaWAN in an Air Quality Monitoring Applications for Smart Cities

2021 ◽  
Author(s):  
Artur F. da S. Veloso ◽  
Jocines D. F. Silveira ◽  
Mario C. L. Moura ◽  
Jose V. dos Reis ◽  
Ricardo A. L. Rabelo ◽  
...  
Keyword(s):  
Air Quality ◽  
Performance Analysis ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Applications

scholarly journals Edge Computing Based IoT Architecture for Low Cost Air Pollution Monitoring Systems: A Comprehensive System Analysis, Design Considerations & Development

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3021 ◽  
Author(s):  
Zeba Idrees ◽  
Zhuo Zou ◽  
Lirong Zheng
Keyword(s):  
Air Quality ◽  
Power Consumption ◽  
Real Time ◽  
Low Cost ◽  
Edge Computing ◽  
Quality Monitoring ◽  
Quality Data ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Computing Device

With the swift growth in commerce and transportation in the modern civilization, much attention has been paid to air quality monitoring, however existing monitoring systems are unable to provide sufficient spatial and temporal resolutions of the data with cost efficient and real time solutions. In this paper we have investigated the issues, infrastructure, computational complexity, and procedures of designing and implementing real-time air quality monitoring systems. To daze the defects of the existing monitoring systems and to decrease the overall cost, this paper devised a novel approach to implement the air quality monitoring system, employing the edge-computing based Internet-of-Things (IoT). In the proposed method, sensors gather the air quality data in real time and transmit it to the edge computing device that performs necessary processing and analysis. The complete infrastructure & prototype for evaluation is developed over the Arduino board and IBM Watson IoT platform. Our model is structured in such a way that it reduces the computational burden over sensing nodes (reduced to 70%) that is battery powered and balanced it with edge computing device that has its local data base and can be powered up directly as it is deployed indoor. Algorithms were employed to avoid temporary errors in low cost sensor, and to manage cross sensitivity problems. Automatic calibration is set up to ensure the accuracy of the sensors reporting, hence achieving data accuracy around 75–80% under different circumstances. In addition, a data transmission strategy is applied to minimize the redundant network traffic and power consumption. Our model acquires a power consumption reduction up to 23% with a significant low cost. Experimental evaluations were performed under different scenarios to validate the system’s effectiveness.

scholarly journals A Three-Step Resolution-Reconfigurable Hazardous Multi-Gas Sensor Interface for Wireless Air-Quality Monitoring Applications

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 761 ◽  
Author(s):  
Subin Choi ◽  
Kyeonghwan Park ◽  
Seungwook Lee ◽  
Yeongjin Lim ◽  
Byungjoo Oh ◽  
...  
Keyword(s):  
Air Quality ◽  
Gas Sensor ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Sensor Interface ◽  
Monitoring Applications

Air Quality Monitoring Using Internet of Things (IoT) in Smart Cities

2019 ◽  
pp. 317-333
Author(s):  
Gayatri Doctor ◽  
Payal Patel
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Internet Of Things ◽  
Environmental Monitoring ◽  
Real Time ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Applications ◽  
Environmental Health Problem

Air pollution is a major environmental health problem affecting everyone. An air quality index (AQI) helps disseminate air quality information (almost in real time) about pollutants like PM10, PM2.5, NO2, SO2, CO, O3, etc. In the 2018 environmental performance index (EPI), India ranks 177 out of 180 countries, which indicates a need for awareness about air pollution and air quality monitoring. Out of the 100 smart cities in the Indian Smart City Mission, which is an urban renewal program, many cities have considered the inclusion of smart environment sensors or smart poles with environment sensors as part of their proposals. Internet of things (IoT) environmental monitoring applications can monitor (in near real time) the quality of the air in crowded areas, parks, or any location in the city, and its data can be made publicly available to citizens. The chapter describes some IoT environmental monitoring applications being implemented in some of the smart cities like Surat, Kakinada.

scholarly journals Iron Oxide Nanoparticle Decorated Graphene for Ultra-Sensitive Detection of Volatile Organic Compounds

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 985 ◽  
Author(s):  
Marius Rodner ◽  
Donatella Puglisi ◽  
Sebastian Ekeroth ◽  
Ulf Helmersson ◽  
Ivan G. Ivanov ◽  
...  
Keyword(s):  
Iron Oxide ◽  
Air Quality ◽  
Quality Monitoring ◽  
Performance Tuning ◽  
Iron Oxide Nanoparticle ◽  
Air Quality Monitoring ◽  
Sensor Performance ◽  
Two Dimensional Materials ◽  
Monitoring Applications ◽  
Grown Graphene

It has been found that two-dimensional materials, such as graphene, can be used as remarkable gas detection platforms as even minimal chemical interactions can lead to distinct changes in electrical conductivity. In this work, epitaxially grown graphene was decorated with iron oxide nanoparticles for sensor performance tuning. This hybrid surface was used as a sensing layer to detect formaldehyde and benzene at concentrations of relevance in air quality monitoring (low parts per billion). Moreover, the time constants could be drastically reduced using a derivative sensor signal readout, allowing detection at the sampling rates desired for air quality monitoring applications.

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