Monitoring Real-Time Urban Carbon Monoxide (CO) Emissions Using Wireless Sensor Networks

Pavani, Movva; Rao, P. Trinatha

doi:10.1007/978-3-319-63645-0_32

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…The actual value of R o depends on the environmental conditions, particularly air temperature and relative humidity. The MQ-136 sensor measured the ambient SO 2 levels in previous studies [36], [37], [38]. The results of the MQ-136 test show that the sensor can measure ambient SO 2 levels at 1-min intervals [36].…”

Section: B Sensor Specificationsmentioning

confidence: 95%

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Ambient Air Monitoring System With Adaptive Performance Stability

et al. 2022

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Air pollution is a significant concern in this era. However, large quantities of pollutants can cause environmental damage and human health problems. The existing monitoring systems are highly precise and sensitive; however, they require high laboratory analysis and high operational costs. To overcome these problems, an air quality monitoring system has been proposed as an alternative that can complement the current system. This study aimed to design an inexpensive air quality monitoring system using metal oxide sensors to measure the concentrations of carbon monoxide (CO), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), and particulate matter (PM) using laser diffraction, a microcontroller, and a general packet radio service module. Our air quality index monitoring system is a sensor node powered by a rechargeable battery supplied by either a solar panel or an alternating current power supply. Our developed system is equipped with an information system, namely a server and graphical user interface, to receive data, calculate the air pollutant standard index, and access data. In this paper, we discussed a novel adaptive algorithm for reducing packet loss in cellular-network-based transmissions. This algorithm allows nodes to perform repeated data transmissions and extends the response waiting times according to the received signal strength indicator. The test results show that the developed algorithm can reduce packet loss by 9.8-11.6% under medium/bad conditions. The node test was carried out in a heavy traffic area approximately 2 km from Atang Senjaya Airport with moderate air quality.

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Section: B Sensor Specificationsmentioning

confidence: 95%

“…The results of the MQ-136 test show that the sensor can measure ambient SO 2 levels at 1-min intervals [36]. In contrast, [38] shows the MQ-136 ability to operate continuously for more than one month with hourly measurement intervals.…”

Section: B Sensor Specificationsmentioning

confidence: 99%

Ambient Air Monitoring System With Adaptive Performance Stability

et al. 2022

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“…In the subways [37], the accuracy and precision of the PM instrument to monitor the PM 10 concentrations using the light scattering method was enhanced by the linear regression analysis technique. It was observed that use of ventilation fans experimentally in the subways could improve the air quality level and reduce the PM 10 level Movva Pavani et al 2016 [30,31] presented a real-time pollution monitoring using wireless sensor networks (WSN).The sensors sense the concentration levels of carbon monoxide,carbon dioxide and oxygen gases deployed on sensor motes (Libelium Waspmote) which were calibrated correctly and the project was implemented in the industrial belt of Hyderabad city. A multihop data aggregation algorithm was employed, and air pollutant data collected from the designed test beds are made available onto the internet through the middleware and web interface.…”

Section: Figure 1 the Architecture Of Wsn Based Indoor Air Qualitymentioning

confidence: 99%

Urban Air Pollution Monitoring Using Wireless Sensor Networks: A Comprehensive Review

Pavani

Rao²

2022

Int. j. commun. netw. inf. secur.

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Air pollution is evolving as a severe environmental concern due to its enormous impact on the well being of the people, universal environment and also on the global economy. Conventional air pollution systems are not able to provide air pollution data of high spatiotemporal resolution due to non-scalability and limited data availability. With the advances in the areas of Micro Electro Mechanical Sensor (MEMS) and Wireless Sensor Network (WSN), the researchers had implemented various state-of-the-art air pollution monitoring systems with better and efficient results. A comprehensive review of continuous air pollution surveillance of both indoor and outdoor pollution by employing WSN was presented. In the proposed paper attempts to provide the details related to the existing methods for measuring major air pollutants like CO2, CO, O3, SO2, VOC and Particulate Matter (PM). It presents the various methods, algorithms and dedicated network designs in air pollution monitoring which are useful for generating new solutions to improve the performance through WSN. A comprehensive and detailed review of the existing methods of Air Quality Monitoring systems using WSN was done along with their comparisons

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“…In ground mobile objects, [23] presented a real-time WSNbased pollution monitoring. The sensors sense the concentration of CO, CO 2 , and O 2 gases deployed on sensor nodes that have been calibrated.…”

Section: B Low Cost Sensors In Ground-based Mobile Objectsmentioning

confidence: 99%

The Effects of Speed and Altitude on Wireless Air Pollution Measurements using Hexacopter Drone

Noori¹,

Dahnil²

2020

IJACSA

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Air pollution has a severe impact on human beings and one of the top risks facing human health. The data collection near pollution sources is difficult to obtain due to obstacles such as industrial and rural areas, where sensing usually fails to give enough information about the air quality. Unmanned Aerial Vehicles (UAVs) equipped with different sensors offer new approaches and opportunity to air pollution and atmospheric studies. Despite that, there are new challenges that emerged with using UAVs, in particular, the effect of wind-generated from UAVs propellers rotation on the efficiency and ability to sense and measure gas concentrations. The results of gas measurement are affected by the propellers rotation and the wind resistance. Thus, the effect of changing UAV speed and altitude on the gas measurement both vertically and horizontally need to be performed. The aims of this paper is to propose a new mobilewireless air pollution system composed of UAV equipped with low-cost sensors using LoRa transmission. The proposed system is evaluated by studying the effect of changing altitude and speed on the measured gas concentrations CO, LPG, H2, and smoke when flying in horizontally and vertically directions. The results showed that our system is capable of measuring CO, LPG, H2, and smoke in the vertical mode in both hovering and deploying scenarios. While in horizontal mode the results showed that system can detect and measure gas concentrations at speeds less than or equal to 6 m/s. While at high speed of 8 and 10 m/s there will be an impact on its performance and accuracy to detect the targeted gases. Also, the results showed that the LoRa shield and Radio transmitter AT9S can successfully transmit up to 800 m horizontally and 400 feet vertically.

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Monitoring Real-Time Urban Carbon Monoxide (CO) Emissions Using Wireless Sensor Networks

Cited by 9 publications

References 9 publications

Ambient Air Monitoring System With Adaptive Performance Stability

Ambient Air Monitoring System With Adaptive Performance Stability

Urban Air Pollution Monitoring Using Wireless Sensor Networks: A Comprehensive Review

The Effects of Speed and Altitude on Wireless Air Pollution Measurements using Hexacopter Drone

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