Warianty tytułu
Języki publikacji
Abstrakty
Daily climate change has an impact on all aspects of human life. The effects of climate change include acid rain, torrential rain, rising sea levels, and flooding. Precautions must be taken to reduce these consequences, and one of those precautions is to feel and track environmental variables including temperature, relative humidity, air quality, and rainfall in remote as well as urban areas. A wireless sensor network system is been developed by using a LoRa Technologies module for the collection of data regarding environmental parameters. As part of this system, the microcontroller is paired with temp., humidity, and rainfall sensors so that they may act as sensor nodes. These sensor nodes transmit significant data over long distances at low data rates while using as little power as possible. The experimental results show that by using LoRa modules we can monitor the parameters with high accuracy and at longer distances. This system was tested for three different months to collect the data. Meanwhile, we demonstrate that the transport sector is mostly responsible for the city’s air pollution by carefully examining the particular situation mostly during daily peak hours and festival season. The system is tested successfully for a transmission range of 500 meters with a power consumption of 25 mW against the existing stationary systems which do not have provision for any transmission of data. We conclude that employing weather quality monitoring and forecasting to control traffic conditions during the peak hours and festival season, will significantly contribute to protecting cities’ atmospheric environments.
Rocznik
Tom
Strony
262--271
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, vinod.mulik@bharatividyapeeth.edu
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, amol.yadav@bharatividyapeeth.edu
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, atul.vitekar@bharatividyapeeth.edu
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, mahavir.kasar@bharatividyapeeth.edu
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, sushilkumar.rajbhoj@bharatividyapeeth.edu
autor
- Department of E&TC, BVCOEW, Pune, SPPU Pune University, India, savita.itkarkar@bharatividyapeeth.edu
Bibliografia
- 1. Agnihotri, P., Tiwari, S., Mohan, D. Design of Air pollution monitoring system using wireless sensor network. 2020 International Conference on Electrical and Electronics Engineering (ICE3), IEEE.
- 2. Ali, N.A.A., Latiff N.A.A. 2019. Environmental monitoring system based on LoRa technology in island. 2019 IEEE International Conference on Signals and Systems (ICSigSys), IEEE.
- 3. Anushri B., Gadhave K., Kumbhar S., Vinod Mulik V. 2022. Environment management system using wireless sensor network. Dickensian Journal, 22, 1628–1631.
- 4. Bardyn, J.-P., Melly, T., Seller, O., Sornin, N. 2016. IoT: The era of LPWAN is starting now. ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference, IEEE.
- 5. Bathiya, B., Srivastava, S., Mishra, B. 2016. Air pollution monitoring using wireless sensor network. 2016 IEEE international WIE conference on electrical and computer engineering (WIECON-ECE), IEEE.
- 6. Bor, M.C., Roedig, U., Voigt, T., Alonso, J.M. et al. 2016. Do LoRa low-power wide-area networks scale? Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems.
- 7. Han, Q. et al. 2019. A wireless sensor network for monitoring environmental quality in the manufacturing industry. IEEE Access, 7, 78108–78119.
- 8. Khutsoane O., Isong B., Abu-Mahfouz A.M. 2017. IoT devices and applications based on LoRa/LoRaWAN. IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, IEEE.
- 9. Manzano et. al., L.G. 2021. An IoT LoRaWAN Network for Environmental Radiation Monitoring. IEEE Transactions on Instrumentation and Measurement, 70, 1–12, #6008512. DOI: 10.1109/TIM.2021.3089776
- 10. Prabhu, S., Annapurna D, Shamshirun I., Kaja V.S.S., Preethu R.R. 2019. Remote weather assistant using LoRa network, an enhancement of IoT design. Advancement of Computer Technology and its Applications 2.2, 2019.
- 11. Raju, V., Varma, A.S.N., Raju Y.S. 2017. An environmental pollution monitoring system using LORA. 2017 International conference on energy, communication, data analytics and soft computing (ICECDS), IEEE.
- 12. Zhao, Z., Wang, J., Fu, C., Liu, Z., Liu, D., Li, B. 2018. Design of a smart sensor network system for real-time air quality monitoring on green roof. Journal of Sensors, 2018.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-c36ccda4-1e5a-4a81-952d-885c4edc7ee2