Pollution Monitoring System Using Gas Sensor Based On Wireless Sensor Network

  • M. Udin Harun Al Rasyid
  • Isbat Uzzin Nadhori
  • Amang Sudarsono
  • Yodhista Tulus Alnovinda
Keywords: CO and CO2, gas sensor, zigbee, meshlium, wireless sensor network


Carbon monoxide (CO) and carbon dioxide (CO2) gases are classified as colorless and odorless gas so we need special tools to monitor their concentration in the air. Concentration of air pollution of CO and CO2 that are high in the air will give serious effects for health status. CO is a poisonous gas that damages the circulation of oxygen in the blood when inhaled, while CO2 is one of the gases that causes global warming. In this paper, we developed an integrated pollution monitoring (IPOM) system to monitor the concentration of air pollution. This research implemented three sensor nodes (end-device) which each node contains CO and CO2 sensors on the gas sensors board to perform sensing from the environment. Furthermore, the data taken from the environment by the sensor will be sent to the meshlium gateway using IEEE 802.15.4 Zigbee communications and processed by the gateway in order to be sent to the computer server. The data is stored in meshlium gateway using MySQL database as a backup, and it will be synchronized to the MySQL database in the computer server. We provide services for public to access the information in database server through a desktop and website application.


Y. Xiang, R. Piedrahita, R. P. Dick, M. Hannigan, Qin Lv, and L. Shang, "A hybrid sensor system for indoor air quality monitoring," Proc. IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), IEEE Press, May 2013, pp. 96-104.

B. H. Lee, M. U. H. Al Rasyid, and H. K. Wu, "Analysis of superframe adjustment and beacon transmission for IEEE 802.15.4 cluster tree networks, " EURASIP Journal on Wireless Communications and Networking, vol. 2012, July 2012.

M. U. H. Al Rasyid, B. H. Lee, A. Sudarsono, and Taufiqurrahman, "Implementation of body temperature and pulseoximeter sensors for wireless body area network," Sensors and Materials, vol. 27, pp. 727–732, September 2015.

H. Yang, Y. Qin, G. Feng, and H. Ci, "Online monitoring of geological CO2 storage and leakage based on wireless sensor networks," IEEE Sensors Journal, vol. 13, pp. 556-562, October 2012.

V. Sivaraman, J. Carrapetta, K. Hu, and B. G. Luxan, "HazeWatch: A participatory sensor system for monitoring air pollution in Sydney," Proc. IEEE 38th Conference on Local Computer Networks Workshops (LCN Workshops), IEEE Press, Oct. 2013, pp. 56-64.

I. H. Peng, Y. Y. Chu, C. Y. Kong, and Y. S. Su, "Implementation of indoor VOC air pollution monitoring system with sensor network," Proc. Seventh International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), IEEE Press, July 2013, pp. 639-643.

A. Kadri, E. Yaacoub, M. Mushtaha, and A. A. Dayya, "Wireless sensor network for real-time air pollution monitoring," Proc. International Conference on Communications, Signal Processing, and their Applications (ICCSPA), Feb. 2013.

V. Jelicic, M. Magno, G. Paci, D. Brunelli, and L. Benini, "Design, characterization and management of a wireless sensor network for smart gas monitoring," Proc. 4th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), IEEE Press, June 2011, pp. 115-120.

F. Dian, "Development of novel gas detection wireless sensor node," Proc. Spring Congress on Engineering and Technology (S-CET), May 2012, pp. 1-3.

G. Pau, "Power consumption reduction for wireless sensor networks using a fuzzy approach," International Journal of Engineering and Technology Innovation (IJETI), vol. 6, no. 1, pp. 55-67, January 2016.

"GitHub Repository Arduino Code," https://github.com/fablabbcn/ASK-Shield/blob/master/ArduinoCode%20- 20ASK%20Shield/SensorTest/SensorsTest_A SK/co2.ino, September 11, 2015.

How to Cite
M. U. H. Al Rasyid, I. U. Nadhori, A. Sudarsono, and Y. T. Alnovinda, “Pollution Monitoring System Using Gas Sensor Based On Wireless Sensor Network”, Int. j. eng. technol. innov., vol. 6, no. 1, pp. 79-91, Jan. 2016.

Most read articles by the same author(s)