Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring

Other literature type, Article English OPEN
Bhardwaj, Jyotirmoy; Gupta, Karunesh K.; Gupta, Rajiv;

<p>New concepts and techniques are replacing traditional methods of water quality parameter measurement systems. This paper introduces a cyber-physical system (CPS) approach for water quality assessment in a distribution network. Cyber-physical systems with embedded sen... View more
  • References (26)
    26 references, page 1 of 3

    Adhikari, U., Morris, T., and Pan, S.: WAMS cyberphysical test bed for power system, cybersecurity study, and data mining, IEEE T. Smart Grid, 8, 2744-2753,, 2016.

    Ali, S., Qaisar, S. B., Saeed, H., Khan, M. F., Naeem, M., and Anpalagan, A.: Network challenges for cyber physical systems with tiny wireless devices: a case study on reliable pipeline condition monitoring, Sensors, 15, 7172-7205, 2015.

    Arduino: Arduino MEGA 2560 Rev 3, available at: https://, last access: 23 September 2017.

    Ari, N. and Mamatnazarova, N.: Symbolic python, in: IEEE 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 29 September-1 October 2014, 1-8,, 2014.

    Atlas Scientific: Atlas Scientific Environmental Robotics, available at:, last access: 23 September 2017.

    Bhardwaj, J. and Gupta, K. K.: Towards Cyber Physical Era: Soft Computing framework based Multi-Sensor Array for Water Quality Monitoring (Version 2), Zenodo, available at: http:// (last access: 31 January 2018), 2017.

    Bhardwaj, J., Gupta, K. K., and Gupta, R.: A review of emerging trends on water quality measurement sensors, in: IEEE International Conference on Technologies for Sustainable Development (ICTSD), Mumbai, India, 4-6 February 2015, 1-6,, 2015.

    Bocchino, S., Fedor, S., and Petracca M.: Pyfuns: A python framework for ubiquitous networked sensors in: European Conf. on Wireless Sensor Networks, Porto, Portugal, 9-11 February 2015, Springer, 1-18, 2015.

    Dorsey, D. W. and Coovert, M. D.: Mathematical modeling of decision making: a soft and fuzzy approach to capturing hard decisions, Hum. Factors, 45, 117-135, 2003.

    Hall, J., Zaffiro, A. D., Marx, R. B., Kefauver, P. C., Krishnan, E. R., Haught, R. C., and Herrmann, J. G.: On-line water quality parameters as indicators of distribution system contamination, J. Am. Water Works Ass., 99, 66-77, 2007.

  • Metrics
Share - Bookmark