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.
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References
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
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)
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
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)
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)
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
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
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
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)
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
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
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)
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
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
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)
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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
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