scholarly journals Effect of Event-Based Sensing on IoT Node Power Efficiency. Case Study: Air Quality Monitoring in Smart Cities

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 132577-132586 ◽  
Author(s):  
Carlos Santos ◽  
Jose A. Jimenez ◽  
Felipe Espinosa
Keyword(s):  
Air Quality ◽  
Power Efficiency ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Event Based

Indoor and outdoor air quality monitoring in hemp house — Case study

2011 ◽  
Vol 6 (3) ◽  
pp. 63-72 ◽  
Author(s):  
Jarmila Rimbalová ◽  
Silvia Vilčeková ◽  
Adriana Eštoková
Keyword(s):  
Air Quality ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Outdoor Air ◽  
Outdoor Air Quality ◽  
Indoor And Outdoor

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

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 Smart Sensor Network Based High Quality Air Pollution Monitoring System Using Labview

2017 ◽  
Vol 13 (08) ◽  
pp. 79 ◽  
Author(s):  
Nagarjuna Telagam ◽  
Nehru Kandasamy ◽  
Nagendra Prasad G ◽  
Menakadevi Nanjundan
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Smart Cities ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Laptop Computer

A ZigBee based wireless sensor network is implemented in this paper which is of low-cost solar-powered air quality monitoring system. The main objective of the proposed architecture is to interfacing various sensors to measure the sensor analog data and displayed in LabVIEW on the monitor using the graphical user interface (GUI).  The real time ambient air quality monitoring in smart cities is of greater significance for the health of people. The wireless network sensor nodes are placed at different traffic signals in the smart cities which collect and report real-time data on different gases which are present in the environment such as carbon monoxide (CO), nitrogen dioxide (NO2), methane (CH4) and humidity. The proposed system allows smart cities to monitor air quality conditions on a desktop/laptop computer through an application designed using graphical programming based LabVIEW software and provides an alert if the air quality characteristics exceed acceptable levels. The sensor network was successfully tested on the campus of the institute of aeronautical engineering, Hyderabad. The sensor data are indicated by different indicators on the front panel of LabVIEW and also different charts are plotted with respect to time and amplitude which explains the severity of polluted areas.

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