Review Paper on Air Pollution Monitoring system

Sirsikar, Snehal V.; Karemore, Priya

doi:10.17148/ijarcce.2015.4147

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…Major gases that directly affect human health, carbon monoxide (CO), hydrogen sulfide, Sulfur dioxide (SO2), nitrogen dioxide (NO2). Methods used: 1-Pollution monitoring technology: air pollution monitoring by uses of a group of GPRS sensors over the Internet 2-Wireless sensor network for real-time monitoring 3-Central monitoring: different sensors are deployed in different areas and each sensor sends the collected information to the server [12]. Tapiwa M. Chiwewe and Jeofrey Ditsela used IoT and machine learning techniques to create models to predict ground-level ozone levels at specific locations as data sets spanning several years are collected from monitoring stations, the results obtained with prediction accuracy ranging from fair to good [13].…”

Section: Literature Reviewmentioning

confidence: 99%

A Survey on Smart Monitoring System of Environment Based on IoT

AlSheikh¹,

Hagem²

2021

(AREJ)

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This paper introduces different topics about Air pollution monitoring based on IoT (internet of things). It describes different methods used for monitoring and measuring Air pollution using different techniques. Some papers discussed Air pollution monitoring using (Arduino uno, Raspberry or ESP8266, PIC microcontroller). All would be presented to improve air monitoring efficiently and to clarify the tools used in each technique giving the differences between one technique and another. Reducing air pollution is necessary for the future, and cities around the world are using technology and smart city initiatives to take on the problem because it is considered as the major environmental risk factor for human health. Air pollution causes heart disease, stroke, chronic obstructive pulmonary disease, lung cancer and acute lower respiratory disease. Therefore, it is important to reduce traffic and output from factories to decrease pollution

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Section: Literature Reviewmentioning

confidence: 99%

A Survey on Smart Monitoring System of Environment Based on IoT

AlSheikh¹,

Hagem²

2021

(AREJ)

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“…The mobile data acquisition unit collects the pollution level and organise it into a frame with Global Positioning System (GPS) location, date and time. This frame is then uploaded to the GPRS modem and sent to the pollution server through the public mobile network [5,9].…”

Section: Air Quality Monitoringmentioning

confidence: 99%

“…Consisting of calibrated sensors, WSN systems use a data aggregation algorithm and a routing protocol along with a lightweight middleware for transmission of the pollution data to a base station where they are visualised in graphical forms. Other parameters like humidity and temperature needs to be taken into consideration [9] for providing more accurate pollutant data as these parameters affect the measured gas concentrations.…”

Section: Air Quality Monitoringmentioning

confidence: 99%

Low-Cost Energy-Efficient Air Quality Monitoring System Using Wireless Sensor Network

Khedo¹,

Chikhooreeah²

2017

Wireless Sensor Networks - Insights and Innovations

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Due to rapid industrialization and urbanization, Mauritius is witnessing an unprecedented increase in air pollution. The release of hazardous gases such as carbon monoxide and sulphur dioxide are not only harmful to the health of the population but are also causing irreversible impact to the environment. Currently, there are only two fixed air quality monitoring units on the island and therefore, air pollution cannot be monitored in real-time. The objective of this chapter is to describe the implementation of a low-cost and energy-efficient air quality monitoring system using wireless sensor network (WSN) that can be easily deployed in highly polluted areas of Mauritius. A Hierarchical Based Genetic Algorithm (HBGA) is proposed to address the issue of sensor nodes with limited energy. Based on hierarchical routing and genetic algorithm, HBGA has been designed to extend the lifetime of the network by minimizing the energy consumption. The proposed air quality monitoring system uses an air quality index that can be easily interpreted. The evaluation results confirm the potential of the proposed system for real-time temporal and spatial monitoring of air quality. Moreover, it possible for the general public to have access to the air quality monitoring results in real time.

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“…For controlling these problems we required to monitor air quality. The air monitoring system is to deliver accurate data of air quality on time because on the basis of collected data to make decisions for the safety of environment and people [3]. Concentration of air pollutant is required for the checking of air quality status in to the real time.…”

Section: Introductionmentioning

confidence: 99%

A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

Rani¹

2021

J. Infor. Electr. Electron. Eng.

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Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

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Review Paper on Air Pollution Monitoring system

Cited by 14 publications

References 8 publications

A Survey on Smart Monitoring System of Environment Based on IoT

A Survey on Smart Monitoring System of Environment Based on IoT

Low-Cost Energy-Efficient Air Quality Monitoring System Using Wireless Sensor Network

A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

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