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  • 标题:IOT Based Effective Data Collection and Cost Estimation (IEDE) On the Pollutant Particles in the Air
  • 本地全文:下载
  • 作者:S.Shenbhagavadivu ; M.Divya ; V.Kalaithendral
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:2
  • 页码:585-591
  • DOI:10.15680/IJIRCCE.2019. 0702018
  • 出版社:S&S Publications
  • 摘要:In today’s world, the essential need of the human health is clean and fresh air. However, the WHO estimates that around 1.4 billion urban people are living in areas with air pollution, So there is a need to reduce the air pollution. Wireless sensors are used in most of the real time applications for collecting physical information. Atmosphere has six levels of air pollution each with one dedicated colour to find the air quality within surrounding area. The measurement of air quality is one of the difficult areas for researches. There are eight pollutants like ozone, suspended particulates, hydrogen nitride,SO2,CO. Major air pollutant is CO , which is increasing up to 50% due to transportation. Every vehicle has its own emission of gases, but the problem occurs when the emission is beyond standard values. The high inflow of vehicles causes more air pollution and decreases air quality that leads to severe health diseases .So, this proposed system is to create awareness about AQI to the common man.Thus monitoring the pollution based on sensor and vehicular tracking using IoE build on top of IoT network based on the web service approach. This sensor would be able to deduce all the pollutants from all the vehicles and would be able to detect which vehicle has the highest emission of the pollutants like CO. Thus, this system is to need to make the environment clean and healthy place to live in.
  • 关键词:Air quality index; vehicular sensor network; data collection
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