A scalable approach to monitoring air pollution using IoT

Kumar, Manoj; Mini, S.; Panigrahi, Trilochan

doi:10.1109/i-smac.2018.8653653

Cited by 5 publications

(1 citation statement)

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“…The system is installed on the wasp mote board with 3G / GPRS network. The data is sensed then sent to the cloud storage for future analysis The practical circuit consists of the following: 1-Calibrate sensors, include: SO2-A4 sensor for measuring sulfur dioxide (SO2), 4-PH3-20 Sensor for measuring phosphine (PH3) gas, 4-H2-1000 Sensor for hydrogen measurement 2-Non-calibrated sensors, include: MiCS-2714 Sensor for measuring nitrogen dioxide (NO2) TGS2444 Sensor for ammonia (NH3) 3-Sensor Boards [22].…”

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%