Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applications is presented that is the water monitoring applications. An efficient approach for monitoring and controlling water parameters in real-time is implemented utilizing merging between WSN and designed simple workstation. For implementation simplicity, two water parameters (pH and temperature) are monitored and controlled in the proposed approach. Most of past work of water monitoring presented different proposed monitoring scenarios for different water parameters only. This research work utilizes the concept of interactive WSN nodes. The interactive nodes interact with the monitored water parameters to control its value. In the base station, the collected data is analyzed and the real-time value of the monitored parameters appears on the designed Graphic User Interface (GUI). The GUI is designed using the Matlab program. Through the GUI, the operator can switch the control between automatic and manual. ZigBee module is used for implementing the wireless communications between the nodes and the workstation. Due to the cost and simplicity, two sensors only are used in the proposed approach. Different real-time experiments are performed to test and measure the effectiveness and performance of the presented approach. These experiments reveal that the presented approach is effective for water treatment and efficient more than the past proposed water monitoring scenarios.
Mukherjee, M. (2016) Wireless Communication-Moving from RF to Optical. International Conference on Computing for Sustainable Global Development, New Delhi, 16-18 March 2016, 1079-1086.
Ikram, W. and Thornhill, N. (2010) Wireless Communication in Process Automation: A Survey of Opportunities, Requirements, Concerns and Challenges. UKACC International Conference on Control, Coventry, 7-10 September 2010, 471-476. https://doi.org/10.1049/ic.2010.0328
Yang, S. (2014) Wireless Sensor Networks Principles, Design and Applications. Springer Verlag, London.
Keramatpour, A., Nikanjam, A. and Ghaffarian, H. (2017) Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks without Infrastructures. Wireless Personal Communication, 96, 3965-3978. https://doi.org/10.1007/s11277-017-4363-4
Mohamed, R., Saleh, A., Abdelrazzak, M. and Samra, A. (2018) Survey on Wireless Sensor Network Applications and Energy Efficient Routing Protocols. Wireless Personal Communication, 101, 1019-1055. https://doi.org/10.1007/s11277-018-5747-9
Alemdar, A. and Ibnkahla, M. (2007) Wireless Sensor Networks Application and Challenges. International Symposium on Signal Processing and Its Applications, Sharjah, 12-15 February 2007, 1-6. https://doi.org/10.1109/ISSPA.2007.4555630
Akyildiz, I. and Vuran, M. (2010) Wireless Sensor Networks. John Wiley & Sons Ltd., Hoboken. https://doi.org/10.1002/9780470515181
Fahmy, H. (2016) Wireless Sensor Networks Concepts, Applications, Experimentation and Analysis. Springer, Berlin. https://doi.org/10.1007/978-981-10-0412-4_3
Ahmad, I., Shah, K. and Ullah, S. (2016) Military Applications Using Wireless Sensor Networks: A Survey. International Journal of Engineering Science and Computing, 6, 7039-7043.
Boselinprabhu, S., Pradeep, M. and Gajendran, E. (2016) Military Applications of Wireless Sensor Network System. A Multidisciplinary Journal of Scientific Research & Education, 2, 164-168.
Khakestani, F. and Balochian, S. (2015) A Survey of Military Application of Wireless Sensor Networks for Soldiers. International Journal of Engineering and Computer Science, 4, 13205-13210.
Al-Mousawi, A. and Al-Hassani, H. (2017) A Survey in Wireless Sensor Network for Explosives Detection. Computers and Electrical Engineering, 72, 682-701. https://doi.org/10.1016/j.compeleceng.2017.11.013
Saravanan, V., Arivoli, S. and Valarmathi, K. (2014) Zigbee Based Monitoring and Control of MeIter Process in Sugar Industry. International Conference on Electronics and Communication Systems, Coimbatore, 2014, 1-4. https://doi.org/10.1109/ECS.2014.6892551
Khan, W., Aalsalern, M., Gharibi, W. and Arshad, Q. (2016) Oil and Gas Monitoring Using Wireless Sensor Networks: Requirements, Issues and Challenges. International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, Jakarta, 3-5 October 2016, 31-35. https://doi.org/10.1109/ICRAMET.2016.7849577
Gharibi, W., Aalsalem, M., Khan, W., Armi, N. and Ghribi, W. (2017) Monitoring Gas and Oil Fields with Reliable Wireless Sensing and Internet of Things. International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, Jakarta, 23-24 October 2017, 188-191. https://doi.org/10.1109/ICRAMET.2017.8253173
Sridhar, S., Rao, K., Nihaal, S. and Aashik, K. (2016) Real Time Wireless Condition Monitoring of Induction Motor. Industrial Electronics and Applications Conference, Kota Kinabalu, 20-22 November 2016, 173-178. https://doi.org/10.1109/IEACON.2016.8067375
Bhuvaneshwari and Kumar, K.S. (2017) Volcano Monitoring System Using Wireless Networks. International Journal of Mathematical Sciences and Engineering, 5, 46-54.
Rupavathi, N. (2017) Employing Wireless Sensor Networks for Early Prediction of Volcanic Earthquake and Eruptions. International Research Journal of Innovations in Engineering and Technology, 1, 14-18.
Phillips, D., Moazzami, M., Xing, G. and Lees, J. (2017) A Sensor Network for Real-Time Volcano Tomography: System Design and Deployment. International Conference on Computer Communication and Networks, Vancouver, 31 July-3 August 2017, 1-9. https://doi.org/10.1109/ICCCN.2017.8038445
Rutakemwa, M., Jose, I. and Georges, T. (2017) Monitoring Nyiragongo Volcano Using a Federated Cloud-Based Wireless Sensor Network. International Conference on Information Science and Control Engineering, Changsha, 21-23 July 2017, 1545-1550. https://doi.org/10.1109/ICISCE.2017.322
Wang, M., Liu, H., Chen, F. and Liu, J. (2015) Forest Fire Warning System Based on GIS and WSNs. International Conference on Advanced Information Technology and Sensor Application, Harbin, 21-23 August 2015, 3-6. https://doi.org/10.1109/AITS.2015.8
Khamukhin, A. and Bertoldo, S. (2016) Spectral Analysis of Forest Fire Noise for Early Detection Using Wireless Sensor Networks. International Siberian Conference on Control and Communications, Moscow, 12-14 May 2016, 1-4. https://doi.org/10.1109/SIBCON.2016.7491654
Cantuna, J., Bastidas, D., Sol’orzano, S. and Clairand, J. (2017) Design and Implementation of a Wireless Sensor Network to Detect Forest Fires. International Conference on Democracy & Government, Quito, 19-21 April 2017, 15-21.
Alkhatib, A. (2013) Wireless Sensor Network for Forest Fire Detection and Decision Making. International Journal of Advances in Engineering Science and Technology, 2, 299-309.
Khan, F., Memon, S., Jokhio, I. and Jokhio, S. (2015) Wireless Sensor Network Based Flood/Drought Forecasting System. IEEE SENSORS, Busan, 1-4 November 2015, 1-4. https://doi.org/10.1109/ICSENS.2015.7370354
Pratama, A., Munadi, R. and Mayasari, R. (2017) Design and Implementation of Flood Detector Using Wireless Sensor Network with Mamdani’s Fuzzy Logic Method. International Conferences on Information Technology, Information Systems and Electrical Engineering, Yogyakarta, 1-2 November 2017, 192-197. https://doi.org/10.1109/ICITISEE.2017.8285493
Menon, K. and Kala, L. (2017) Video Surveillance System for Real Time Flood Detection and Mobile App for Flood Alert. International Conference on Computing Methodologies and Communication, Erode, 18-19 July 2017, 515-519. https://doi.org/10.1109/ICCMC.2017.8282518
Roberts Alley, E. (2007) Water Quality Control. 2nd Edition, McGraw-Hill Companies, United States of America.
Environmental Protection Agency. Parameters of Water Quality Interpretation and Standards.
Tebbutt, T. (2002) Principles of Water Quality Control. Fifth Edition, Butterworth-Heinemann, an Imprint of Elsevier Science, Oxford.
Company, H. (2010) What Is pH and How Is It Measured? A Technical Handbook for Industry.
Ashton, J. and Geary, L. (2006) The Effects of Temperature on pH Measurement.
Manasrah, R., Raheed, M. and Badran, M. (2006) Relationships between Water Temperature, Nutrients and Dissolved Oxygen in the Northern Gulf of Aqaba, Red Sea. Institute of Oceanology PAS, Jordan.
El-Bendary, M. (2015) Developing Security Tools of WSN and WBAN Networks Applications. Springer, Berlin. https://doi.org/10.1007/978-4-431-55069-3
Weston, S. (2011) An Overview of Environmental Monitoring and ITS Significance in Resource and Environmental Management.
Vidakis, N., Lasithiotakis, M.A. and Karapidakis, E. (2017) Environmental Monitoring through Embedded System and Sensors. International Universities Power Engineering Conference, Heraklion, 28-31 August 2017, 1-7. https://doi.org/10.1109/UPEC.2017.8231913
Somasundaram, P. and Ediosn, D. (2013) Monitoring Water Quality Using RF Module. International Journal of Application or Innovation in Engineering & Management, 2, 220-224.
Devi, B. and Abirami, N. (2014) Real Time System for Determination of Drinking Water Quality. International Journal of Computer Science and Mobile Computing, 3, 732-740.
Barabde, M. and Danve, S. (2015) Real Time Water Quality Monitoring System. International Journal of Innovative Research in Computer and Communication Engineering, 3, 5064-5069.
Deepiga, T. and Sivasankari, A. (2015) Smart Water Monitoring System Using Wireless Sensor Network at Home/Office. International Research Journal of Engineering and Technology, 2, 1305-1314.
Eduardo, C., Hugo, V. and Horacio, J. (2016) Wireless Sensor Network for Water Quality Monitoring: Prototype Design. World Academy of Science, Engineering and Technology International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 10, 162-167.
Pujar, P., Kenchannavar, H. and Kulkarn, U. (2016) Wireless Sensor Network Based Water Monitoring Systems: A Survey. International Conference on Applied and Theoretical Computing and Communication Technology, Bangalore, 21-23 July 2016, 155-159. https://doi.org/10.1109/ICATCCT.2016.7911983
Xu, Y. and Liu, F. (2017) Application of Wireless Sensor Network in Water Quality Monitoring. International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou, 21-24 July 2017, 368-371. https://doi.org/10.1109/CSE-EUC.2017.254
Menon, G., Ramesh, M. and Divya, P. (2017) A Low Cost Wireless Sensor Network for Water Quality Monitoring in Natural Water Bodies. Global Humanitarian Technology Conference, San Jose, 19-22 October 2017, 1-8. https://doi.org/10.1109/GHTC.2017.8239341
Cloete, N., Malekian, R. and Nair, L. (2017) Design of Smart Sensors for Real-Time Water Quality Monitoring. IEEE Access, 4, 3975-3990. https://doi.org/10.1109/ACCESS.2016.2592958
Geetha, S. and Gouthami, S. (2017) Internet of Things Enabled Real Time Water Quality Monitoring System. Smart Water, 2, 1. https://doi.org/10.1186/s40713-017-0005-y
Pule, M., Yahya, A. and Chuma, J. (2018) Wireless Sensor Networks: A Survey on Monitoring Water Quality. Journal of Applied Research and Technology, 15, 562-570.
Dfrobot.com (2017) PH Meter (SKU: SEN0161). https://www.dfrobot.com/wiki/index.php/PH_meter(SKU:_SEN0161)
https://store.fut-electronics.com/ (2017) Temperature Sensor Waterproof. https://store.fut-electronics.com/collections/frontpage/products/waterproof-temperature-sensor-digital-1
Nussey, J. (2013) Arduino for Dummies. John Wiley & Sons, Hoboken.
Digi International Inc. (2009) XBee/XBee-PRO RF Modules.
Will, E. and Faust, J. (2015) Irrigation Water Quality for Greenhouse Production. Agricultural Extension Service, the University of Tennessee, Knoxville.