Enhanced pollution monitoring system for vehicles using cloud based wireless sensor network
DOI:
https://doi.org/10.61841/m6pdgs06Keywords:
Wireless Sensor Network,, Arduino UNO, Infrared Radiations, ThingSpeak, TwilioAbstract
Pollution has been put out by rapid growth in population, industrialization and higher levels of energy utilization. Air pollution has a significant influence on the concentration of constituents in the atmosphere directing to effects like global warming and avid rains. They also produce harmful effects on humans. To avoid such adverse imbalances in nature, air pollution monitoring system is most important. WSN is a network of devices that can communicate the information collected from a monitored field through wireless links. Data collected from the sensors can be transferred through multiple nodes via gateway. These networks can be used in monitoring the concentration of CO2 from the vehicle exhaust. WSN are used in monitoring pollution level at both indoors and outdoors. WSN have also been implemented in predicting forest fires in advance by sensing the level of CO2 emitted by trees and the moisture in the surrounding. In all these implementations, a network of sensors is used with few nodes acting as intermediary while others collecting data. Data collected is transferred to the sink node using an efficient algorithm.
Downloads
References
1. https://www.hackster.io/TechnicalEngineer/arduino-based-air-qua lity-monitoring-iot-project-7f3d1
2. https://create.arduino.cc/projecthub/jeffpar0721/add-wifi-to-ardui no-uno-663b9e
3. https://www.tutorialspoint.com/arduino/arduino_board_descriptio n.htm
4. Vehicular pollution monitoring using IoT 2015 Prof. Ghewari M. U , Tejaswini Mahamuni , Pooja Kadam , Anupama Pawar
5. Shermin Shamsudheen , Azath mubarakali, “SMART AGRICULTURE USING IOT,” International Journal of MC Square Scientific Research, vol.11, no.4, 2019.
6. Biruk Zeleke1 , Muleta Demissie, “IOT BASED LAWN CUTTER,” International Journal of MC Square Scientific Research, vol.11, no.2, 2019.
7. Vijayabaskar V. and Rajendran V, “Analysis and modeling of wind dependence of ambient noise in shallow water of Arabian sea”, European Journal of Scientific Research, vol.50, pp.28-34, 2011.
8. Vijayabaskar V., Rajendran V. and Mathews M Philip, “Frequency Domain based approach for Denoising of Underwater Acoustic Signal using EMD”, Journal of Intelligent Systems, vol. 22, pp. 67–80, 2013.
9. Vijayabaskar V., Rajendran V. and E. Logashanmugam, “Study of Different Denoising Methods for Underwater Acoustic Signal,” Journal of Marine Science and Technology, vol. 23, no. 4, pp.414-419, 2015.
10. Vijayabaskar V. and Rajendran V., “Wind Dependence of Ambient Noise in Shallow Water of Arabian Sea During Pre-Monsoon”, IEEE International Conference on Recent Advances In Space Technology Services & Climate Change, pp. 413-416, 2010.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
