Skip to main content

A Smart Industrial Pollution Detection and Monitoring Using Internet of Things (IoT)

  • Conference paper
  • First Online:
Futuristic Trends in Networks and Computing Technologies (FTNCT 2019)

Abstract

In this paper an information securing framework which will gauge certain parameters in every condition is proposed for ventures. WSN has been utilized to gather a physical wonder in shifts application, for example, living space observing. By utilizing Time Division Multiple Access (TDMA) GSM framework was created as advanced framework which is utilized. The IoT empowers physical gadgets, vehicles, home apparatuses, different things Embedded with electronic programming, sensor actuators to interface trade information. The ongoing information from nature is gathered by PIC and sensors. By zigbee show arduino works goes about as a base station which accumulates number of passed on sensor a considerable number reports verifying.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yang, J., et al.: Integration of WSN in environmental monitoring based on cyber structure. Wirel. Net. 16, 1091–1108 (2010). https://doi.org/10.1007/s11276-009-0190-1

    Article  Google Scholar 

  2. Derbew, Y., Libsie, M.: A WSN framework for large industrial poll monitor. J. Comput. Sci. Tech. 2, 95–101 (2014)

    Google Scholar 

  3. Zakaria, Y., Michael, K.: An integrated cloud on WSN for monitor waste water into water sources. Wirel. Sen. Netw. 9, 290–301 (2017)

    Article  Google Scholar 

  4. Vetrivelan, P., et al.: A NN based automatic crop monitoring based robot for agri. In: The IoT and the Next Revolutions Automating the World, pp. 203–212. IGI Global (2019)

    Google Scholar 

  5. Lieping, Z., et al.: Design of water environment monitoring system based on WSN. In: International Conference on Measuring Technical & Mechatronics Automation, pp. 210–213 (2016)

    Google Scholar 

  6. Lukas, W., et al.: On the application of IoT: monitor of water level using WSN. IEEE Conference on Wireless Sensors, Melaka, pp. 58–62 (2015)

    Google Scholar 

  7. Wang, C., et al.: A self air quality monitor system using WSN. In: International Conference on Computing & Application, Taipei, pp. 1–6 (2012)

    Google Scholar 

  8. Vetrivelan, P., et al.: Design of surveillance security system based on sensor network. Int. J. Res. Stud. Sci. Eng. Tech. 4, 23–26 (2017)

    Google Scholar 

  9. Nikhade, S.G.: WSN Communication on Embedded Linux Cirtt, Power & Computing Technology, pp. 1468–1473 (2014)

    Google Scholar 

  10. Sheikh Ferdoush: WSN Sys Pi & Arduino of Environmental Monitoring Application Conference on Future Networks and Communications (2014)

    Google Scholar 

  11. Santhi, S., et al.: SoS emergency on ad-hoc wireless net. In: Computational Intelligence & Sustainable Systems (CISS), EAI/Springer Innovations in Communication & Computing, pp. 227–234 (2019)

    Google Scholar 

  12. Rakhonde, M.A., Khoje, S.A., Komati, R.D.: Vehicle collision detection and avoidance with pollution monitoring system using IoT. In: Global Conf on Wireless Computing and Networking (GCWCN), Lonavala, India, 2018, pp. 75–79 (2018)

    Google Scholar 

  13. Muthukumar, S., et al.: IoT based air pollution monitoring and control system. In: 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, pp. 1286–1288 (2018)

    Google Scholar 

  14. Kavitha, B.C., Vallikannu, R.: IoT based intelligent industry monitoring system. In: 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, pp. 63–65 (2019)

    Google Scholar 

  15. Munsadwala, Y., et al.: Identification and visualization of hazardous gases using IoT. In: International Conference on IoT: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, pp. 1–6 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to E. Udayakumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Udayakumar, E., Tamilselvan, S., Srihari, K., Venkata Koti Reddy, G., Chandragandhi, S. (2020). A Smart Industrial Pollution Detection and Monitoring Using Internet of Things (IoT). In: Singh, P., Sood, S., Kumar, Y., Paprzycki, M., Pljonkin, A., Hong, WC. (eds) Futuristic Trends in Networks and Computing Technologies. FTNCT 2019. Communications in Computer and Information Science, vol 1206. Springer, Singapore. https://doi.org/10.1007/978-981-15-4451-4_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-4451-4_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4450-7

  • Online ISBN: 978-981-15-4451-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics