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An Integrated Cloud-Based Wireless Sensor Network for Monitoring Industrial Wastewater Discharged into Water Sources
School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
- 1 School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
- 2 School of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Wireless Sensor Network·Volume 09 (2017)·Pages 290–301·Published 10 August 2017·DOI10.4236/wsn.2017.98016
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Abstract
This paper presents a prototype of an Integrated Cloud-Based Wireless Sensor Network (WSN) developed to monitor pH, conductivity and dissolved oxygen parameters from wastewater discharged into water sources. To provide realtime online monitoring and Internet of Things (IoT) capability, the system collects and uploads sensor data to ThingSpeak cloud via GPRS internet connectivity with the help of AT commands in combination with HTTP GET method. Moreover, the system sends message alert to the responsible organ through GSM/GPRS network and an SMS gateway service implemented by Telerivet mobile messaging platform. In this prototype, Telerivet messaging platform gives surrounding communities a means of reporting observed or identified water pollution events via SMS notifications.
KeywordsWireless Sensor NetworkWastewaterGPRSThingSpeak CloudTelerivetInternet of Things
- UN-Water (2017) The United Nations World Water Development Report 2017, Wastewater the Untapped Resource. United Nations World Water Assessment Programme, Perugia, 1-12.
- Tanzania Bureau of Standards (TBS) (2006) Municipal and Industrial Wastewaters General Tolerance Limits for Municipal and Industrial Wastewaters (TZS860:2006). National Environmental Standards Compendium, Tanzania Bureau of Standards, Dar es Salaam, 1-8.
- Ho, Y.C., Show, K.Y., Guo, X.X. and Norli, I. (2012) Industrial Discharge and Their Effect to the Environment. In: Industrial Waste, InTechOpen, 1-33. https://doi.org/10.5772/38830
- Baya, B. (2016) Lake Zone Environmental Survey Report 2016. NEMC Press, Mwanza, 1-9.
- Derbew, Y. and Libsie, M. (2014) A Wireless Sensor Network Framework for Large- Scale Industrial Water Pollution Monitoring. HiLCoE Journal of Computer Science and Technology, 2, 95-101. https://doi.org/10.1109/ISTAFRICA.2014.6880619
- Elson, J. and Kay, R. (2003) Wireless Sensor Networks?: A New Regime for Time Synchronization. Computer Communication Review, 33, 149-154. https://doi.org/10.1145/774763.774787
- Faustine, A., Mvuma, A.N., Mongi, H.J., Gabriel, M.C., Tenge, A.J. and Kucel, S.B. (2014) Wireless Sensor Networks for Water Quality Monitoring and Control within Lake Victoria Basin?: Prototype Development. Wireless Sensor Network, 6, 281-290. https://doi.org/10.4236/wsn.2014.612027
- Liu, X. (2012) A Survey on Clustering Routing Protocols in Wireless Sensor Networks. Sensors, 12, 11113-11153. https://doi.org/10.3390/s120811113
- Pasha, S. (2016) Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis. International Journal New Technology and Research, 2, 19-23.
- Devassy, J. and Srinivasan, K. (2016) Online Monitoring and Control of Industrial Effluents in IoT Environment. International Journal of Innovative Research in Technology, 2, 340-345.
- Prasad, A.N., Mamun, K.A., Islam, F.R. and Haqva, H. (2015) Smart Water Quality Monitoring System. 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, 1-6. https://doi.org/10.1109/APWCCSE.2015.7476234
- XBee Buying Guide—SparkFun Electronics. https://www.sparkfun.com/pages/xbee_guide
- Hangan, A., Vacariu, L. and Cret, O. (2013) A Prototype for the Remote Monitoring of Water Parameters. 2013 19th International Conference on Control Systems and Computer Science, 29-31 May 2013, 1-5.