Environmental Pollution Alerting System using IOT

  • Authors

    • Dr. T.Prem Jacob
    • Dr. A.Pravin
    • Mr. Albert Mayan
    https://doi.org/10.14419/ijet.v7i3.24.22786
  • Sensors, IOT, Arduino, data collection, wireless mesh network.
  • In metro cities the people living near a sewage treatment plant where there's a probability of harmful gas vaporous that may spread in atmosphere mostly at midnight which we should not breathe. For this reason, we have assembled a framework for detecting and cautioning the human being living nearby. The plan for the Environmental Alert System is an inspiration to avoid inhaling of various synthetic compounds noticeable all around. The unit comprises of a variety of four gas sensors each for methane, carbon monoxide, smoke, propane. We have developed with an Intel Edison for detecting wirelessly and cautioning. Environmental Alert System is a proper air pollution detecting gadget.

     

     

  • References

    1. [1] Masmoudi, et.al., (2017), Modeling based decision for smart city environmental alert system for accidental air pollution, International Conference on Smart, Monitored and Controlled Cities, pp. 96-100.

      [2] Kin-Fai Ho, et.al. (2015), Indoor Air Monitoring Platform and Personal Health Reporting System: Big Data Analytics for Public Health Research, Big Data IEEE International Congress, pp. 309-312.

      [3] James et.al., (2012), Sensor deployment for air pollution monitoring using public transportation system, Evolutionary Computation IEEE Congress, pp. 1-7.

      [4] Yovan Felix A , Jesudoss A ,Albert Mayan J (2017) ,"Entry and exit monitoring using license plate recognition ",International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials , pp.227-231.

      [5] Alessandro, et.al. (2010), Social network for human-based environmental monitoring ,Environmental Energy and Structural Monitoring Systems IEEE Workshop, pp. 46-51.

      [6] Raghavendra, et.al. (2017), Survey on air pollution monitoring systems, Innovations in Information Embedded and Communication Systems International Conference, pp. 1-4.

      [7] R. Nagarathna, et.al., (2016), An Intelligent Step to Effective e-Governance in India through E-Learning via Social Networks, MOOCs Innovation and Technology in Education IEEE 4th International Conference, pp. 29-35.

      [8] S. Narasimha, et.al. (2018), Repeated data management framework for IoT A case study on weather monitoring and forecasting, Recent Advances in Information Technology International Conference, pp. 1-7.

      [9] R.Khot et.al. (2017), “Survey on air pollution monitoring systemsâ€, International Conference on Innovations in Information, Embedded and Communication Systems, pp. 1-4.

      [10] Albert Mayan J, Kuldeep Anand D.S, Neha Sadhvi (2017),"Efficient and secure server migration on cloud storage with VSM and dropbox services", International Conference on Information Communication and Embedded Systems, pp. 1-5.

      [11] N. S. Desai, et.al., (2017), IoT based air pollution monitoring and predictor system on Beagle bone black, International Conference on Nextgen Electronic Technologies Silicon to Software, pp. 367-370.

      [12] A. Alshamsi, et.al. (2017), Monitoring pollution: Applying IoT to create a smart environment, International Conference on Electrical and Computing Technologies and Applications, pp.1-4.

      [13] Pradeep K and Prem Jacob T (2018),"CGSA scheduler: A multi-objective-based hybrid approach for task scheduling in cloud environment", Information Security Journal: A Global Perspective, Vol 27, No.2, pp.77-91, 2018

      [14] Rahul Kumar, Pravin A, “Data protection and outsourcing in cloud with linear programming and image based OTP", 2017 International Conference on Information Communication and Embedded Systems, DOI: 10.1109/ICICES.2017.8070745,2017.

  • Downloads

  • How to Cite

    T.Prem Jacob, D., A.Pravin, D., & Albert Mayan, M. (2018). Environmental Pollution Alerting System using IOT. International Journal of Engineering & Technology, 7(3.24), 427-429. https://doi.org/10.14419/ijet.v7i3.24.22786