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59. Zhao, S., Liu, P., Niu, Y., Chen, Z., Khan, A., Zhang, P., et al. (2018). A novel early
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60. Chouler, J., Cruz-Izquierdo, Á., Rengaraj, S., Scott, J. L., & Di Lorenzo, M. (2018).
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Experiences and recommendations in deploying a real-time, water quality monitoring
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66. Gallah, N., Bahri, O., Lazreg, N., Chaouch, A., & Besbes, K. (2017). Water quality
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Computer Science and Applications, 8(3), 357–362.
67. Dunbabin, M., & Marques, L. (2012). Robots for environmental monitoring: Significant
advancements and applications. IEEE Robotics and Automation Magazine, 19(1), 24–39.
https://doi.org/10.1109/MRA.2011.2181683.
68. Ma, J., Meng, F., Zhou, Y., Wang, Y., & Shi, P. (2018). Distributed water pollution source
localization with mobile UV-visible spectrometer probes in wireless sensor networks.
Sensors, 18(2), 606. https://doi.org/10.3390/s18020606.
69. Eichhorn, M., Taubert, R., Ament, C., Jacobi, M., & Pfuetzenreuter, T. (2013).
Modular AUV system for sea water quality monitoring and management. In: 2013 MTS/
IEEE OCEANS-Bergen 2013 (pp. 1–7). IEEE.
70. Vasilijević, A., Nađ, Đ., Mandić, F., Mišković, N., & Vukić, Z. (2017). Coordinated
navigation of surface and underwater marine robotic vehicles for ocean sampling and
environmental monitoring. IEEE/ASME Transactions on Mechatronics, 22(3), 1174–1184.
https://doi.org/10.1109/TMECH.2017.2684423.
294
R. Soni et al.
water quality early warning systems: Fundamentals, signal resolution, optimization and
future challenges. Renewable and Sustainable Energy Reviews, 81, 292–305. https://doi.org/
10.1016/j.rser.2017.06.099.
55. Modin, O., & Aulenta, F. (2017). Three promising applications of microbial electrochemistry for the water sector. Environmental Science: Water Research & Technology, 3(3), 391–
402. https://doi.org/10.1039/C6EW00325G.
56. Di Lorenzo, M., Thomson, A. R., Schneider, K., Cameron, P. J., & Ieropoulos, I. (2014).
A small-scale air-cathode microbial fuel cell for on-line monitoring of water quality.
Biosensors & Bioelectronics, 62, 182–188. https://doi.org/10.1016/j.bios.2014.06.050.
57. Zhou, T., Han, H., Liu, P., Xiong, J., Tian, F., & Li, X. (2017). Microbial fuels cell-based
biosensor for toxicity detection: A review. Sensors, 17(10), 2230. https://doi.org/10.3390/
s17102230.
58. ElMekawy, A., Hegab, H., Pant, D., & Saint, C. (2018). Bio-analytical applications of
microbial fuel cell-based biosensors for onsite water quality monitoring. Journal of Applied
Microbiology, 124(1), 302–313. https://doi.org/10.1111/jam.13631.
59. Zhao, S., Liu, P., Niu, Y., Chen, Z., Khan, A., Zhang, P., et al. (2018). A novel early
warning system based on a sediment microbial fuel cell for in situ and real time hexavalent
chromium detection in industrial wastewater. Sensors, 18(2), 642. https://doi.org/10.3390/
s18020642.
60. Chouler, J., Cruz-Izquierdo, Á., Rengaraj, S., Scott, J. L., & Di Lorenzo, M. (2018).
A screen-printed paper microbial fuel cell biosensor for detection of toxic compounds in
water. Biosensors & Bioelectronics, 102, 49–56.
61. Chen, Y., & Han, D. (2018). Water quality monitoring in smart city: A pilot project.
Automation in Construction, 89, 307–316. https://doi.org/10.1016/j.autcon.2018.02.008.
62. Myint, C. Z., Gopal, L., & Aung, Y. L. (2017). Reconfigurable smart water quality
monitoring system in IoT environment. In: 2017 IEEE/ACIS 16th International Conference
on Computer and Information Science (ICIS) 2017 (pp. 435–440). IEEE.
63. Bröring, A., Echterhoff, J., Jirka, S., Simonis, I., Everding, T., Stasch, C., et al. (2011). New
generation sensor web enablement. Sensors, 11(3), 2652–2699. https://doi.org/10.3390/
s110302652.
64. Zhu, X., Li, D., He, D., Wang, J., Ma, D., & Li, F. (2010). A remote wireless system for
water quality online monitoring in intensive fish culture. Computers and Electronics in
Agriculture, 71, S3–S9. https://doi.org/10.1016/j.compag.2009.10.004.
65. O’Flynn, B., Regan, F., Lawlor, A., Wallace, J., Torres, J., & O’Mathuna, C. (2010).
Experiences and recommendations in deploying a real-time, water quality monitoring
system. Measurement Science & Technology, 21(12), 124004.
66. Gallah, N., Bahri, O., Lazreg, N., Chaouch, A., & Besbes, K. (2017). Water quality
monitoring based on small satellite technology. International Journal of Advanced
Computer Science and Applications, 8(3), 357–362.
67. Dunbabin, M., & Marques, L. (2012). Robots for environmental monitoring: Significant
advancements and applications. IEEE Robotics and Automation Magazine, 19(1), 24–39.
https://doi.org/10.1109/MRA.2011.2181683.
68. Ma, J., Meng, F., Zhou, Y., Wang, Y., & Shi, P. (2018). Distributed water pollution source
localization with mobile UV-visible spectrometer probes in wireless sensor networks.
Sensors, 18(2), 606. https://doi.org/10.3390/s18020606.
69. Eichhorn, M., Taubert, R., Ament, C., Jacobi, M., & Pfuetzenreuter, T. (2013).
Modular AUV system for sea water quality monitoring and management. In: 2013 MTS/
IEEE OCEANS-Bergen 2013 (pp. 1–7). IEEE.
70. Vasilijević, A., Nađ, Đ., Mandić, F., Mišković, N., & Vukić, Z. (2017). Coordinated
navigation of surface and underwater marine robotic vehicles for ocean sampling and
environmental monitoring. IEEE/ASME Transactions on Mechatronics, 22(3), 1174–1184.
https://doi.org/10.1109/TMECH.2017.2684423.
294
R. Soni et al.