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UWMAIS: ubiquitous water monitoring platform

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Abstract

Water quality is vital to human life and economy. However, one sixth of the world’s population suffers from lack of safe drinking and domestic water. Aiming to improve the capability of predicting and responding to river pollution disasters, this project collaborated with local offices of Chinese National Bureau of Water Resource to explore new solutions to coping with the ever-growing threat of river water pollution. We presented a distributed data analysis algorithm, Infinitesimal Dividing and Analysis, to efficiently locate pollution sources with data gathered from a ubiquitous wired/wireless sensor network. We elaborate on a π-calculus based paradigm to enhance collaboration and interaction among individual monitoring stations. Based on these two enabling technologies, we applied our framework to water quality monitoring at two carefully chosen sites in China.

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References

  1. Water—a shared responsibility. The United Nations World Water Development Report, World Water Assessment Programme, UNESCO (2006)

  2. Tap water not safe to drink. The Belfast Telegraph, 15 April 2009, http://www.belfasttelegraph.co.uk/news/local-national/tap-water-now-safe-to-drink-14268937.html, retrieved on 20 April 2009

  3. Environmental quality standards for surface water. State Environmental Protection Administration of China (2002)

  4. Ribeiro, A., Silva, F., Freitas, L., Costa, J., Frances, C.: SensorBus: a middleware model for wireless sensor networks. In: Proceedings of the 3rd International IFIP/ACM Latin American Conference (2005). doi:10.1145/1168117.1168119

  5. Flyrm, B., Martinez, R., Cleary, J., Slater, C., Regan, F., Diamond, D., Murphy, H.: SmartCoast: a wireless sensor network for water quality monitoring. In: Proceedings of 32nd IEEE Conference on Local Computer Networks, pp. 815–816 (2007)

  6. Padhy, P., Martinez, K., Riddoch, A., Ong, H., Hart, J.K.: Glacial environment monitoring using sensor networks. In: Real-World Wireless Sensor Networks, Stockholm, Sweden, 20–21 June 2005

  7. Richardson, L.F.: Weather Prediction by Numerical Process. Cambridge University Press, Cambridge (1922)

    MATH  Google Scholar 

  8. Yao, R., Na, Z., Teng, D.: Water quality assessment model based on fuzzy AHP method and its application. Water Res. Power 24–26 (2004)

  9. Phillips, R.L., Geister, D.E.: Interactive graphics in water quality investigations. ACM/CSC-ER, 70-75 (1973)

  10. Miyajima, Y., Kobayashi, S., Inaba, R.: A knowledge-based water purification plant control system. In: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pp. 288–295. ACM, New York (1989)

    Google Scholar 

  11. Stein, R., Shih, A., Baker, M.: Scientific visualization of water quality in the Chesapeake Bay. In: Proceedings of the IEEE Visualization, pp. 509–512. IEEE Press, New York (2000)

    Google Scholar 

  12. Ailamaki, A., Faloutos, C., Fischbeck, P., Small, M., VanBriesen, J.: An environmental sensor network to determine drinking water quality and security. SIGMOD Rec. 32(4), 47–52 (2003)

    Article  Google Scholar 

  13. Milner, R., Parrow, J., Walker, D.: A calculus of mobile processes, I. Inf. Comput. Arch. 100(1), 1–40 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  14. Gordon, E., Kusraev, A., Kutateladze, S.: Infinitesimal analysis. Math. Appl. 544, 436 (2002)

    MathSciNet  Google Scholar 

  15. Yang, G., Weng, L., Li, L.: Yangtze, Conservation and Development Report. ChangJiang Press (2007) (in Chinese)

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Authors and Affiliations

  1. Department of Computing, Birmingham City University, Galton Building, Perry Barr, Birmingham, B42 2SU, UK

    Bin Hu & JiZheng Wan

  2. School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

    Bo Hu

  3. School of Information Science and Engineering, Lanzhou University, No. 222 Tianshui South Road, Lanzhou, Gansu, 730000, China

    Bin Hu, Fang Zheng & Li Liu

Authors
  1. Bin Hu
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  2. Bo Hu
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  3. JiZheng Wan
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  4. Fang Zheng
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  5. Li Liu
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Correspondence to Bin Hu.

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Hu, B., Hu, B., Wan, J. et al. UWMAIS: ubiquitous water monitoring platform. Cluster Comput 13, 153–165 (2010). https://doi.org/10.1007/s10586-009-0105-z

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  • DOI: https://doi.org/10.1007/s10586-009-0105-z

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