Wireless sensor network for real-time air pollution monitoring

Abdullah Kadri*, Elias Yaacoub, Mohammed Mushtaha, Adnan Abu-Dayya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

116 Citations (Scopus)

Abstract

This paper presents an ambient real-time air quality monitoring system. The system consists of several distributed monitoring stations that communicate wirelessly with a backend server using machine-to-machine communication. Each station is equipped with gaseous and meteorological sensors as well as data logging and wireless communication capabilities. The backend server collects real time data from the stations and converts it into information delivered to users through web portals and mobile applications. The system is implemented in pilot phase and four solar-powered stations are deployed over an area of 1 km2. Data over four months has been collected and performance analysis and assessment are performed. As the historical data bank becomes richer, more sophisticated operations can be performed.

Original languageEnglish
Title of host publication2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
DOIs
Publication statusPublished - 14 Feb 2013
Externally publishedYes
Event2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 - Sharjah, United Arab Emirates
Duration: 12 Feb 201314 Feb 2013

Publication series

Name2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013

Conference

Conference2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
Country/TerritoryUnited Arab Emirates
CitySharjah
Period12/02/1314/02/13

Keywords

  • Air quality monitoring
  • data analysis
  • Machine-to-Machine communication
  • wireless sensor networks

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