Skip to main content

Air- and Sound-Quality Monitoring with Alert System Using Node MCU

  • Chapter
  • First Online:
Modern Approaches in IoT and Machine Learning for Cyber Security

Part of the book series: Internet of Things ((ITTCC))

  • 221 Accesses

Abstract

The primary objective of the Noise and Air Quality Measurement System is to address the escalating issues of sound and air pollution in contemporary times. It is imperative to continually monitor air pollution levels and maintain them within acceptable limits for the sake of our future well-being. The versatility and convenience of the Internet of Things (IoT) have made this monitoring task more feasible. The rapid urbanization and the proliferation of industries, coupled with the increase in vehicular traffic, have significantly impacted our environmental conditions. The detrimental effects of pollution range from mild allergic reactions such as throat, eye, and nose irritation to severe health problems like bronchitis, heart diseases, pneumonia, lung disorders, and aggravated asthma. Monitoring activities provide us with data on air pollutant and noise pollution concentrations, which can then be analyzed, interpreted, and presented. This information serves various purposes. The analysis of monitoring data allows us to assess the daily severity of air and noise pollution, offering valuable insights into their fluctuating levels.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. H. Zhi-Gang, C. Cai-Hui, The application of Zigbee based wireless sensor network and GIS in the air pollution monitoring, in 2009 International Conference on Environmental Science and Information Application Technology, vol. 2, (IEEE, Piscataway, 2009), pp. 546–549

    Chapter  Google Scholar 

  2. P. Pal, R. Gupta, S. Tiwari, A. Sharma, IoT based air pollution monitoring system using Arduino. Int. Res. J. Eng. Technol. (IRJET) 4(10), 1137–1140 (2017)

    Google Scholar 

  3. G. Parmar, S. Lakhani, M.K. Chattopadhyay, An IoT based low cost air pollution monitoring system, in 2017 International Conference on Recent Innovations in Signal Processing and Embedded Systems (RISE), (IEEE, Piscataway, 2017), pp. 524–528

    Chapter  Google Scholar 

  4. H.N. Shah, Z. Khan, A.A. Merchant, M. Moghal, A. Shaikh, P. Rane, IOT based air pollution monitoring system. Int. J. Sci. Eng. Res. 9(2), 62–66 (2018)

    Google Scholar 

  5. M.A. Al Ahasan, S. Roy, A.H.M. Saim, R. Akter, M.Z. Hossain, Arduino-Based real time air quality and pollution monitoring system. Int. J. Innov. Res. Comput. Sci. Technol. 6(4), 81–86 (2018)

    Article  Google Scholar 

  6. S. Maurya, S. Sharma, P. Yadav, Internet of things based air pollution penetrating system using GSM and GPRS, in 2018 International Conference on Advanced Computation and Telecommunication (ICACAT), (IEEE, Piscataway, 2018), pp. 1–5

    Google Scholar 

  7. A.K. Saha, S. Sircar, P. Chatterjee, S. Dutta, A. Mitra, A. Chatterjee, S.P. Chattopadhyay, H.N. Saha, A raspberry Pi controlled cloud based air and sound pollution monitoring system with temperature and humidity sensing, in 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), (IEEE, Piscataway, 2018), pp. 607–611

    Chapter  Google Scholar 

  8. V. Sajjan, P. Sharma, Analysis of IoT architecture for low cost air pollution monitoring systems, in 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), (IEEE, Piscataway, 2020), pp. 63–69

    Chapter  Google Scholar 

  9. S. Dhingra, R.B. Madda, A.H. Gandomi, R. Patan, M. Daneshmand, Internet of Things mobile–air pollution monitoring system (IoT-Mobair). IEEE Internet Things J. 6(3), 5577–5584 (2019)

    Article  Google Scholar 

  10. M. Korunoski, B.R. Stojkoska, K. Trivodaliev, Internet of things solution for intelligent air pollution prediction and visualization, in IEEE EUROCON 2019-18th International Conference on Smart Technologies, (IEEE, Piscataway, 2019), pp. 1–6

    Google Scholar 

  11. R.K. Kodali, S. Pathuri, S.C. Rajnarayanan, Smart indoor air pollution monitoring station, in 2020 International Conference on Computer Communication and Informatics (ICCCI), (IEEE, Piscataway, 2020), pp. 1–5

    Google Scholar 

  12. J.R.K. Dabbakuti, C. Bhupati, Ionospheric monitoring system based on the Internet of Things with ThingSpeak. Astrophys. Space Sci. 364(8), 1–7 (2019)

    Article  MathSciNet  Google Scholar 

  13. A.K. Kumar, A. Sri Lakshmi, P.J.N. Rao, Moving average method based air pollution monitoring system using IoT platform. J. Phys. Conf. Ser. 1706(1) (2020). https://doi.org/10.1088/1742-6596/1706/1/012078

  14. J.K.R. Sastry, Bhupathi, Enhancing fault tolerance of IoT networks within device layer. Int. J. Eng. Technol. Eng. Res. 8(2), 491–509 (2020). https://doi.org/10.30534/ijeter/2020/37822020

    Article  Google Scholar 

  15. Bhupathi, J.K.R. Sastry, A framework for effecting fault tolerance within IoT network. J. Adv. Res. Dyn. Control Syst. 10(2), 424–432 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ch. Bhupati .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bhupati, C., Rajasekhar, J., Mohan Kumar, T., Nagendra, C., Bhanu Chand, A. (2024). Air- and Sound-Quality Monitoring with Alert System Using Node MCU. In: Gunjan, V.K., Ansari, M.D., Usman, M., Nguyen, T. (eds) Modern Approaches in IoT and Machine Learning for Cyber Security. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-09955-7_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-09955-7_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09954-0

  • Online ISBN: 978-3-031-09955-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics