AIRWISE - An Airborne Wireless Sensor Network for Ambient Air Pollution Monitoring

Orestis Evangelatos, José D. P. Rolim

2015

Abstract

Over the last decades with the rapid growth of industrial zones, manufacturing plants and the substantial urbanization, environmental pollution has become a crucial health, environmental and safety concern. In particular, due to the increased emissions of various pollutants caused mainly by human sources, the air pollution problem is elevated in such extent where significant measures need to be taken. Towards the identification and the qualification of that problem, we present in this paper an airborne wireless sensor network system for automated monitoring and measuring of the ambient air pollution. Our proposed system is comprised of a pollution-aware wireless sensor network and unmanned aerial vehicles (UAVs). It is designed for monitoring the pollutants and gases of the ambient air in three-dimensional spaces without the human intervention. In regards to the general architecture of our system, we came up with two schemes and algorithms for an autonomous monitoring of a three-dimensional area of interest. To demonstrate our solution, we deployed the system and we conducted experiments in a real environment measuring air pollutants such as: NH3, CH4, CO2, O2 along with the temperature, relative humidity and atmospheric pressure. Lastly, we experimentally evaluated and analyzed the two proposed schemes.

References

  1. European union air quality sector, http://ec.europa.eu/ environment/air/quality ,retrieved sept. 2014,.
  2. www.figaro.co.jp/en , retrieved sept. 2014.
  3. www.libelium.com , retrieved sept. 2014.
  4. Barakeh, Z. A., Delbart, V., and Bonnet, F. (2014). Multiple gas sensors system for environmental and air quality assessments. a way to perform environmental monitoring in smart cities. International Conference on Sensor Networks, SENSORNETS, pages 360 - 364.
  5. Chen, Z., Shi, Z., and Guo, Q. (2013). Design of wireless sensor network node for carbon monoxide monitoring. Telecommunication Systems, 53(1).
  6. Chow, J. C. et al. (2007). Will the circle be unbroken: A history of the u .s . national ambient air quality standards.
  7. Evangelatos, O., Samarasinghe, K., and Rolim, J. (2013). Syndesi: A framework for creating personalized smart environments using wireless sensor networks. In Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on.
  8. Hu, S.-C., Wang, Y.-C., Huang, C.-Y., and Tseng, Y.-C. (2011). Measuring air quality in city areas by vehicular wireless sensor networks. J. Syst. Softw.
  9. Jude, A. et al. (2007). Sensorflock: an airborne wireless sensor network of micro-air vehicles. In Proc. of the 5th international conference on Embedded networked sensor systems, SenSys 7807.
  10. Kavi K. Khedo, Perseedoss R., M. A. (May, 2010). A wireless sensor network air pollution monitoring system. International Journal of Wireless and Mobile Networks (IJWMN), 2.
  11. Lee, H., Olsen, S. C., Wuebbles, D. J., and Youn, D. (2013). Impacts of aircraft emissions on the air quality near the ground. Atmospheric Chemistry and Physics Discussions, 13(1):689-727.
  12. Nickel, V., Ottersbach, P., Reichert, R., and Schfer, M. (2014). Smart fabrication of robotic systems. International Conference on Sensor Networks, SENSORNETS, pages 345 - 350.
  13. Solazzo, E. et al. (2013). Evaluating the capability of regional-scale air quality models to capture the vertical distribution of pollutants. Geoscientific Model Development, 6(3):791-818.
  14. Teh, S., Mejias, L., Corke, P., and Hu, W. (2008). Experiments in integrating autonomous uninhabited aerial vehicles (uavs) and wireless sensor networks. In Proceedings of the 2008 Australasian Conference on Robotics and Automation (ACRA 2008).
  15. Valente, J., Sanz, D., Barrientos, A., Cerro, J. d., Ribeiro, n., and Rossi, C. (2011). An air-ground wireless sensor network for crop monitoring. Sensors, 11(6):6088- 6108.
  16. Waharte, S. and Trigoni, N. (2010). Supporting search and rescue operations with uavs. In Int. Conf. on Emerging Security Technologies (EST), 2010.
  17. Wang, D. et al. (2010). Monitoring ambient air quality with carbon monoxide sensor-based wireless network. Commun. ACM.
  18. Willmann, J. et al. (2012). Aerial robotic construction. International Journal of Architectural Computing.
  19. Yaacoub, E., Kadri, A., Mushtaha, M., and Abu-Dayya, A. (2013). Air quality monitoring and analysis in qatar using a wireless sensor network deployment. In Wireless Communications and Mobile Computing Conference (IWCMC).
  20. Yim, S. H., Stettler, M. E., and Barrett, S. R. (2013). Air quality and public health impacts of fUKg airports. part ii: Impacts and policy assessment. Atmospheric Environment, 67(0):184 - 192.
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Paper Citation


in Harvard Style

Evangelatos O. and D. P. Rolim J. (2015). AIRWISE - An Airborne Wireless Sensor Network for Ambient Air Pollution Monitoring . In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, pages 231-239. DOI: 10.5220/0005203302310239


in Bibtex Style

@conference{sensornets15,
author={Orestis Evangelatos and José D. P. Rolim},
title={AIRWISE - An Airborne Wireless Sensor Network for Ambient Air Pollution Monitoring},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2015},
pages={231-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005203302310239},
isbn={978-989-758-086-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - AIRWISE - An Airborne Wireless Sensor Network for Ambient Air Pollution Monitoring
SN - 978-989-758-086-4
AU - Evangelatos O.
AU - D. P. Rolim J.
PY - 2015
SP - 231
EP - 239
DO - 10.5220/0005203302310239