Wireless Sensor Networks for Water Quality Monitoring and Control within Lake Victoria Basin: Prototype Development

Abstract

The need for effective and efficient monitoring, evaluation and control of water quality in Lake Victoria Basin (LVB) has become more demanding in this era of urbanization, population growth and climate change and variability. Traditional methods that rely on collecting water samples, testing and analyses in water laboratories are not only costly but also lack capability for real-time data capture, analyses and fast dissemination of information to relevant stakeholders for making timely and informed decisions. In this paper, a Water Sensor Network (WSN) system prototype developed for water quality monitoring in LVB is presented. The development was preceded by evaluation of prevailing environment including availability of cellular network coverage at the site of operation. The system consists of an Arduino microcontroller, water quality sensors, and a wireless network connection module. It detects water temperature, dissolved oxygen, pH, and electrical conductivity in real-time and disseminates the information in graphical and tabular formats to relevant stakeholders through a web-based portal and mobile phone platforms. The experimental results show that the system has great prospect and can be used to operate in real world environment for optimum control and protection of water resources by providing key actors with relevant and timely information to facilitate quick action taking.

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Faustine, A. , Mvuma, A. , Mongi, H. , Gabriel, M. , Tenge, A. and Kucel, S. (2014) Wireless Sensor Networks for Water Quality Monitoring and Control within Lake Victoria Basin: Prototype Development. Wireless Sensor Network, 6, 281-290. doi: 10.4236/wsn.2014.612027.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Sridharan, S. (2014) Water Quality Monitoring System Using Wireless Sensor Network. International Journal of Electronic Communications Engineering Advanced Research, 3, 399-402.
[2] Losilla, F., Garcia-Sanchez, A.-J., Garcia-Sanchez, F., Garcia-Haro, J. and Haas, Z.J. (2011) A Comprehensive Approach to WSN-Based ITS Applications. Sensors, 11, 10220-10265.
http://dx.doi.org/10.3390/s111110220
[3] Chaamwe, N., Liu, W. and Jiang, H. (2010) Wireless Sensor Networks in the Context of Zambia: A Developing Country. 2010 Second International Conference on Information Technology and Computer Science (ITCS), Kiev, 24-25 July 2010, 474-478.
http://dx.doi.org/10.1109/ITCS.2010.122
[4] Zennaro, M., Floros, A., Dogan, G., Sun, T., Cao, Z., Huang, C., Bahader, M., Ntareme, H. and Bagula, A. (2009) On the Design of a Water Quality Wireless Sensor Network (WQWSN): An Application to Water Quality Monitoring in Malawi. 2009 International Conference on Parallel Processing Workshops, Vienna, 22-25 September 2009, 330-336.
http://dx.doi.org/10.1109/ICPPW.2009.57
[5] Kumar, R.K., Mohan, M.C., Vengateshapandiyan, S., Kumar, M.M. and Eswaran, R. (2014) Solar Based Advanced Water Quality Monitoring System Using Wireless Sensor Network. International Journal of Science, Engineering and Technology Research (IJSETR), 3, 385-389.
[6] Rao, A.S., Marshall, S., Gubbi, J., Palaniswami, M., Sinnott, R. and Pettigrove, V. (2013) Design of Low-Cost Autonomous Water Quality Monitoring System. 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, 22-25 August 2013, 14-19.
[7] Boonsong, W. and Ismail, W. (2014) Wireless Monitoring of Household Electrical Power Meter Using Embedded RFID with Wireless Sensor Network Platform. International Journal of Distributed Sensor Networks, 2014, Article ID: 876914.
[8] XCTU Software.
http://www.digi.com/products/wireless-wired-embedded-solutions/zigbee-rf-modules/xctu

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