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

Leveraging WSN Technology for Air Monitoring and Home Assistant, Efficiency Using IOT

K.C.Rohith kumarUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, IndiaP.AnandAssistant professor (Ph.D.), Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, IndiaR.KusumaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, IndiaA.PoojithaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, IndiaP.Sai kumarUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, IndiaM.MounikaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dt), Andra Pradesh, India

Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 320-325

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 19-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.903046

pdf iconFull Text PDF
Abstract

Wireless sensor or networks WSNs and the internet of things IOT have arose as effective tools for transforming differing uses containing environmental monitoring and home mechanization this paper survey the unification of WSNs and IOT technologies to evolve an adept and convenient system real-occasion air character listening and home control the proposed arrangement promotes a network of cheap energy-effective sensors strategically redistributed during the whole of a home or construction these sensors continuously accumulate dossier on fault-finding air quality limits in the way that coarse matter pm25 pm10 volatile natural compounds vocs hotness and dampness the composed data is communicated wirelessly to a main portal which processes and resolves the facts this abstract specifies a short overview of the key facets of leveraging WSNs science for air listening and home assistant effectiveness utilizing IOT.

Keywords

WSN, Air Monitoring, Home Assistant, Efficiency, IOT, Wireless sensor networks


Citation of this Article

K.C.Rohith kumar, P.Anand, R.Kusuma, A.Poojitha, P.Sai kumar, & M.Mounika. (2025). Leveraging WSN Technology for Air Monitoring and Home Assistant, Efficiency Using IOT. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 320-325. Article DOI https://doi.org/10.47001/IRJIET/2025.903046

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. Kaur, A., & Kilby, J. (2017). Wireless Sensor Networks in Air Pollution Monitoring.
  2. Pavani, M., & Rao, P. (2022). Urban Air Pollution Monitoring Using Wireless Sensor Networks.
  3. IEEE Xplore. (2024). Air Pollution Monitoring Using WSN.
  4. Movva, R., et al. (2020). WSN Applications for Air Quality Assessment.
  5. Rahman, F., et al. (2019). A Review on WSN Deployment for Pollution Monitoring.
  6. Srivastava, R., et al. (2021). IoT in Smart Homes: A Comprehensive Study.
  7. Patel, D., & Gupta, S. (2020). Optimization of Home Energy Use via IoT.
  8. IEEE Standards Association. (2024). HVAC Integration with IoT.
  9. Singh, R., et al. (2018). IoT and Smart Home Automation.
  10. Smith, J., et al. (2019). IoT Systems for Air Quality and Energy Efficiency.
  11. Kim, S., et al. (2021). Combining WSN and IoT for Environmental Monitoring.
  12. Sharma, A., et al. (2023). Predictive Modeling in IoT-WSN Systems.
  13. IEEE Xplore. (2023). Integration of WSN and IoT for Enhanced Monitoring.
  14. Gupta, P., et al. (2022). Advanced Analytics in WSN-IoT Systems.
  15. Chen, X., et al. (2021). Smart Home Interfaces Enabled by IoT and WSN.
  16. Yadav, S., et al. (2020). Addressing Accuracy in Low-Cost Air Sensors.
  17. Wang, Q., et al. (2019). Environmental Challenges in WSN-Based Monitoring.
  18. Ali, M., et al. (2022). Calibration Techniques for Pollution Sensors.
  19. Jones, T., et al. (2021). Cross-Sensitivity in Multi-Pollutant Sensors.
  20. Taylor, L., et al. (2018). Enhancing Sensor Sensitivity and Specificity.
  21. Kumar, V., et al. (2020). Logistics of Establishing Monitoring Stations.
  22. Jackson, R., et al. (2019). Cost Challenges in Air Quality Networks.
  23. Singh, T., et al. (2021). Data Management Strategies in IoT-WSN Systems.
  24. Roy, P., et al. (2022). Infrastructure Limitations in Remote Monitoring.
  25. Ahmed, S., et al. (2023). Deployment Strategies for Air Monitoring.
  26. Bose, N., et al. (2020). Enhancing Public Awareness on Air Quality.
  27. Li, J., et al. (2021). Regulatory Frameworks for IoT Sensors.
  28. Alvi, Z., et al. (2023). Addressing Inequities in Air Quality Monitoring.
  29. Sharma, K., et al. (2018). Data Utilization for Policy-Making.
  30. Kim, H., et al. (2022). Community-Driven Air Monitoring Solutions.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.