TY - GEN
T1 - A wireless sensor network solution for monitoring water quality in Botswana
AU - Pule, Mompoloki
AU - Yahya, Abid
AU - Chuma, Joseph
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/28
Y1 - 2016/10/28
N2 - Wireless Sensor Networks (WSNs) provide reliable and affordable infrastructure for various applications ranging from environmental monitoring, industrial automation, telemedicine, to military surveillance. These networks allow monitoring processes to be conducted remotely, in real-time and with minimal human intervention. Water quality monitoring is essential to the provision of clean and safe water. In Botswana, Water Utilities Corporation (WUC), has adopted a conventional like process that employs several independent hand held meters for sampling different water quality parameters manually. However, this process has proved to be ineffective since it is expensive, time consuming, requires considerable human resource capacity and lacks real-time results to promote proactive response to water contamination. In this work, an integrated WSN based solution that employs Libelium's Waspmote platform has been developed. The sensor node is based on ATMEL's ATmega 1281 8-bit low power microcontroller which can operate for more than a year without recharging its battery. Results have shown that the proposed system managed to sample associated water quality parameters in real time with the same accuracy as currently adopted methods. In addition, the system is autonomous, easy to install, highly scalable and has a relatively high sampling rate which improves the temporal resolution of the monitoring process.
AB - Wireless Sensor Networks (WSNs) provide reliable and affordable infrastructure for various applications ranging from environmental monitoring, industrial automation, telemedicine, to military surveillance. These networks allow monitoring processes to be conducted remotely, in real-time and with minimal human intervention. Water quality monitoring is essential to the provision of clean and safe water. In Botswana, Water Utilities Corporation (WUC), has adopted a conventional like process that employs several independent hand held meters for sampling different water quality parameters manually. However, this process has proved to be ineffective since it is expensive, time consuming, requires considerable human resource capacity and lacks real-time results to promote proactive response to water contamination. In this work, an integrated WSN based solution that employs Libelium's Waspmote platform has been developed. The sensor node is based on ATMEL's ATmega 1281 8-bit low power microcontroller which can operate for more than a year without recharging its battery. Results have shown that the proposed system managed to sample associated water quality parameters in real time with the same accuracy as currently adopted methods. In addition, the system is autonomous, easy to install, highly scalable and has a relatively high sampling rate which improves the temporal resolution of the monitoring process.
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U2 - 10.1109/NICS.2016.7725635
DO - 10.1109/NICS.2016.7725635
M3 - Conference contribution
AN - SCOPUS:84996847848
T3 - NICS 2016 - Proceedings of 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science
SP - 12
EP - 16
BT - NICS 2016 - Proceedings of 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science
A2 - Hung, Nguyen Le
A2 - Boo, Vo Nguyen Quoe
A2 - Duy, Tran Trung
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science, NICS 2016
Y2 - 14 September 2016 through 16 September 2016
ER -