International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Wireless Sensor Network Based Weather Forecasting

Abstract

Weather forecasting is a complex and challenging science that depends on the efficient interplay of weather observation, data analysis by meteorologist and computers, and rapid communication system. Monitoring, controlling, and gathering environmental / weather conditions or parameters can easily be achieved with the use of wireless sensor networks. This system was built around Arduino Nano Microcontroller. This research simulated and implemented a modern method of collecting and storing environmental data; this method was used because of its accuracy, versatility, and speed. The result shows these parameters: humidity, temperature, atmospheric pressure and wind speed plotted in GUI graph in real time form.

Country : Nigeria

1 Suleiman Audu Tarfa2 Chukwuemeka Chijioke Nwaobasi

  1. Dept. of Electrical and Electronics, Engineering Technology, Federal Polytechnic, Mubi, Adamawa State, Nigeria
  2. Dept. of Electrical and Electronics, Engineering Technology, Federal Polytechnic, Mubi, Adamawa State, Nigeria

IRJIET, Volume 5, Issue 9, September 2021 pp. 14-20

doi.org/10.47001/IRJIET/2021.509003

Full Paper
Download

References

  1. M. S. Ismail, “PC-Based Center for Weather Stations in Sudan,” Int. J. Recent trends Eng. Res. Dep. Comput. Eng. Fac. Eng., vol. 2, no. 0X, pp. 299–303, 2016.
  2. W. Dargie and C. Poellabauer, Fundamentals of Wireless Sensor Networks: Theory and Practice, First Edit. Southern Gate, Chichester, West Sussex, United Kingdom: John Wiley & Sons, Ltd, 2010.
  3. F. Rodríguez, A. Fleetwood, A. Galarza, and L. Fontan, “Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control,” Renew. Energy, vol. 126, no. 2018, pp. 855–864, 2018.
  4. M. S. Ismail, “PC-Based Center for Weather Stations in Sudan,” Int. J. Recent trends Eng. Res. Dep. Comput. Eng. Fac. Eng., vol. 2, no. 0X, pp. 299–303, 2016.
  5. K. Abhishek, A. Kumar, R. Ranjan, and S. Kumar, “A Rainfall Prediction Model using Artificial Neural Network,” in IEEE Control and System Graduate Research Colloquium (ICSGRC 2012), 2012, pp. 82–87.
  6. H. Bassil, H. Moubarak, A. Kassem, M. Hamad, and C. El-Moucary, “A Smart Real Time Portable Multichannel Data Logger System,” in 29th IEEE International Conference on Microelectronics (ICM), 2017, pp. 512–516.
  7. K. Krishnamurthi, S. Thapa, L. Kothari, and A. Prakash, “Arduino Based Weather Monitoring System,” Int. J. Eng. Res. Gen. Sci., vol. 3, no. 2, pp. 452–458, 2015.
  8. A.Carre and T. Williamson, “Design and validation of a low cost indoor environment quality datalogger,” Energy Build., vol. 158, no. 2018, pp. 1751–1761, 2017.
  9. N. Liu and Z. Su, “Research and Implementation of New Type Multi-channel Data Logger,” in 2010 IEEE International Conference on Computer Application and System Modeling (ICCASM 2010), 2010, pp. 102–10.

Copyright @ 2026-2017 IRJIET. All Right Reserved.

Developed by Byzero Technologies